#eval=params$runcodebooks
eas_20 %>% select_if(function(col) {!is.character(col) | n_distinct(as.numeric(col))<15}) %>%
# detect_scales(quiet=TRUE) %>%
codebook(., survey_repetition = "single", metadata_table = TRUE) #Gerhard: this could also create an html; or make this as a separate markdown. It takes a long time to run... so maybe don't do it here
Dataset name: .
The dataset has N=2164 rows and 310 columns. 0 rows have no missing values on any column.
|
#Variables
Respondent ID
Distribution of values for respondentid
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| respondentid | Respondent ID | numeric | 0 | 1 | 1.2e+10 | 1.2e+10 | 1.2e+10 | 1.2e+10 | 31898517 | ▆▆▇▃▂ |
Collector ID
Distribution of values for collectorid
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| collectorid | Collector ID | numeric | 0 | 1 | 4e+08 | 4e+08 | 4e+08 | 4e+08 | 407595 | ▇▂▂▁▁ |
Start Date
## 52 unique, categorical values, so not shown.
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | min | median | max |
|---|---|---|---|---|---|---|---|---|
| start_date | Start Date | Date | 0 | 1 | 52 | 2020-11-13 | 2020-12-05 | 2021-01-03 |
End Date
## 52 unique, categorical values, so not shown.
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | min | median | max |
|---|---|---|---|---|---|---|---|---|
| end_date | End Date | Date | 0 | 1 | 52 | 2020-11-13 | 2020-12-05 | 2021-01-03 |
Custom Data 1
## No non-missing values to show.
2164 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | hist |
|---|---|---|---|---|---|---|---|---|
| custom_data_1 | Custom Data 1 | numeric | 2164 | 0 | NA | NA | NA |
Opt out of data sharing with the Centre for Effective Altruism
Distribution of values for opt_out_cea
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| opt_out_cea | Opt out of data sharing with the Centre for Effective Altruism | character | 0 | 1 | 2 | 2046 | 0 | 78 | 0 |
How did you first hear about effective altruism? Other
Distribution of values for first_hear_ea_other
1997 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| first_hear_ea_other | How did you first hear about effective altruism? Other | character | 1997 | 0.08 | 145 | 0 | 3 | 339 | 0 |
Please briefly specify any further details about how you first heard about EA.
Distribution of values for first_hear_ea_desc
968 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| first_hear_ea_desc | Please briefly specify any further details about how you first heard about EA. | character | 968 | 0.55 | 1144 | 0 | 1 | 609 | 0 |
Important for you getting involved in EA? 80,000 Hours
Distribution of values for involve_80k
290 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| involve_80k | Important for you getting involved in EA? 80,000 Hours | numeric | 290 | 0.87 | 0 | 1 | 1 | 0.51 | 0.5 | ▇▁▁▁▇ |
Important for you getting involved in EA? GiveWell
Distribution of values for involve_givewell
290 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| involve_givewell | Important for you getting involved in EA? GiveWell | numeric | 290 | 0.87 | 0 | 0 | 1 | 0.35 | 0.48 | ▇▁▁▁▅ |
Important for you getting involved in EA? Personal contact with EAs
Distribution of values for involve_personal_contact
290 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| involve_personal_contact | Important for you getting involved in EA? Personal contact with EAs | numeric | 290 | 0.87 | 0 | 0 | 1 | 0.35 | 0.48 | ▇▁▁▁▅ |
Important for you getting involved in EA? A book
Distribution of values for involve_book
290 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| involve_book | Important for you getting involved in EA? A book | numeric | 290 | 0.87 | 0 | 0 | 1 | 0.23 | 0.42 | ▇▁▁▁▂ |
Important for you getting involved in EA? An article or blog
Distribution of values for involve_article_blog
290 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| involve_article_blog | Important for you getting involved in EA? An article or blog | numeric | 290 | 0.87 | 0 | 0 | 1 | 0.17 | 0.37 | ▇▁▁▁▂ |
Important for you getting involved in EA? Giving What We Can
Distribution of values for involve_gwwc
290 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| involve_gwwc | Important for you getting involved in EA? Giving What We Can | numeric | 290 | 0.87 | 0 | 0 | 1 | 0.21 | 0.41 | ▇▁▁▁▂ |
Important for you getting involved in EA? Local or university EA Group
Distribution of values for involve_group
290 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| involve_group | Important for you getting involved in EA? Local or university EA Group | numeric | 290 | 0.87 | 0 | 0 | 1 | 0.29 | 0.45 | ▇▁▁▁▃ |
Important for you getting involved in EA? The online EA community
Distribution of values for involve_online
290 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| involve_online | Important for you getting involved in EA? The online EA community | numeric | 290 | 0.87 | 0 | 0 | 1 | 0.2 | 0.4 | ▇▁▁▁▂ |
Important for you getting involved in EA? LessWrong
Distribution of values for involve_lesswrong
290 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| involve_lesswrong | Important for you getting involved in EA? LessWrong | numeric | 290 | 0.87 | 0 | 0 | 1 | 0.18 | 0.39 | ▇▁▁▁▂ |
Important for you getting involved in EA? Slate Star Codex
Distribution of values for involve_slate_star
290 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| involve_slate_star | Important for you getting involved in EA? Slate Star Codex | numeric | 290 | 0.87 | 0 | 0 | 1 | 0.17 | 0.38 | ▇▁▁▁▂ |
Important for you getting involved in EA? Podcast
Distribution of values for involve_podcast
290 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| involve_podcast | Important for you getting involved in EA? Podcast | numeric | 290 | 0.87 | 0 | 0 | 1 | 0.2 | 0.4 | ▇▁▁▁▂ |
Important for you getting involved in EA? EA Global
Distribution of values for involve_ea_global
290 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| involve_ea_global | Important for you getting involved in EA? EA Global | numeric | 290 | 0.87 | 0 | 0 | 1 | 0.1 | 0.3 | ▇▁▁▁▁ |
Important for you getting involved in EA? The Life You Can Save
Distribution of values for involve_lycs
290 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| involve_lycs | Important for you getting involved in EA? The Life You Can Save | numeric | 290 | 0.87 | 0 | 0 | 1 | 0.12 | 0.33 | ▇▁▁▁▁ |
Important for you getting involved in EA? Animal Charity Evaluators
Distribution of values for involve_ace
290 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| involve_ace | Important for you getting involved in EA? Animal Charity Evaluators | numeric | 290 | 0.87 | 0 | 0 | 1 | 0.06 | 0.23 | ▇▁▁▁▁ |
Important for you getting involved in EA? EAGx
Distribution of values for involve_eagx
290 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| involve_eagx | Important for you getting involved in EA? EAGx | numeric | 290 | 0.87 | 0 | 0 | 1 | 0.07 | 0.26 | ▇▁▁▁▁ |
Important for you getting involved in EA? Other (please specify)
Distribution of values for involve_other
290 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| involve_other | Important for you getting involved in EA? Other (please specify) | numeric | 290 | 0.87 | 0 | 0 | 1 | 0.1 | 0.3 | ▇▁▁▁▁ |
Action: Chose a job or graduate degree program based on EA principles
Distribution of values for action_chose_job_degree
280 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| action_chose_job_degree | Action: Chose a job or graduate degree program based on EA principles | numeric | 280 | 0.87 | 0 | 0 | 1 | 0.28 | 0.45 | ▇▁▁▁▃ |
Action: Applied for a job or graduate degree program based on EA principles
Distribution of values for action_applied_job_degree
280 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| action_applied_job_degree | Action: Applied for a job or graduate degree program based on EA principles | numeric | 280 | 0.87 | 0 | 0 | 1 | 0.28 | 0.45 | ▇▁▁▁▃ |
Action: Donated >10% of your income based on EA principles
Distribution of values for action_donated
280 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| action_donated | Action: Donated >10% of your income based on EA principles | numeric | 280 | 0.87 | 0 | 0 | 1 | 0.32 | 0.47 | ▇▁▁▁▃ |
Action: Took the Giving What We Can pledge
Distribution of values for action_gwwc
280 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| action_gwwc | Action: Took the Giving What We Can pledge | numeric | 280 | 0.87 | 0 | 0 | 1 | 0.3 | 0.46 | ▇▁▁▁▃ |
Action: Spent >6 hours/week for >=2 months organizing an EA group/project
Distribution of values for action_organize_group
280 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| action_organize_group | Action: Spent >6 hours/week for >=2 months organizing an EA group/project | numeric | 280 | 0.87 | 0 | 0 | 1 | 0.24 | 0.42 | ▇▁▁▁▂ |
Action: Worked (or currently work) at an EA organization
Distribution of values for action_work_ea_org
280 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| action_work_ea_org | Action: Worked (or currently work) at an EA organization | numeric | 280 | 0.87 | 0 | 0 | 1 | 0.16 | 0.37 | ▇▁▁▁▂ |
Action: Changed your major in university based on EA principles
Distribution of values for action_change_major
280 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| action_change_major | Action: Changed your major in university based on EA principles | numeric | 280 | 0.87 | 0 | 0 | 1 | 0.09 | 0.29 | ▇▁▁▁▁ |
Action: Wrote a thesis based on EA principles
Distribution of values for action_wrote_thesis
280 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| action_wrote_thesis | Action: Wrote a thesis based on EA principles | numeric | 280 | 0.87 | 0 | 0 | 1 | 0.05 | 0.22 | ▇▁▁▁▁ |
Action: Internship related to a career path you are exploring based on EA
Distribution of values for action_internship
280 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| action_internship | Action: Internship related to a career path you are exploring based on EA | numeric | 280 | 0.87 | 0 | 0 | 1 | 0.12 | 0.33 | ▇▁▁▁▁ |
Action: Applied to EA Global
Distribution of values for action_applied_ea_global
280 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| action_applied_ea_global | Action: Applied to EA Global | numeric | 280 | 0.87 | 0 | 0 | 1 | 0.28 | 0.45 | ▇▁▁▁▃ |
Action: Attended EA Global
Distribution of values for action_attended_ea_global
280 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| action_attended_ea_global | Action: Attended EA Global | numeric | 280 | 0.87 | 0 | 0 | 1 | 0.29 | 0.45 | ▇▁▁▁▃ |
Action: Posted or commented on the EA Forum
Distribution of values for action_ea_forum
280 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| action_ea_forum | Action: Posted or commented on the EA Forum | numeric | 280 | 0.87 | 0 | 0 | 1 | 0.26 | 0.44 | ▇▁▁▁▃ |
Action: Been a leader of a local EA group
Distribution of values for action_lead_group
280 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| action_lead_group | Action: Been a leader of a local EA group | numeric | 280 | 0.87 | 0 | 0 | 1 | 0.21 | 0.41 | ▇▁▁▁▂ |
Action: Applied for a one-on-one career discussion with 80,000 Hours
Distribution of values for action_applied_one_on_one
280 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| action_applied_one_on_one | Action: Applied for a one-on-one career discussion with 80,000 Hours | numeric | 280 | 0.87 | 0 | 0 | 1 | 0.21 | 0.41 | ▇▁▁▁▂ |
Action: Had a one-on-one career discussion with 80,000 Hours
Distribution of values for action_had_one_on_one
280 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| action_had_one_on_one | Action: Had a one-on-one career discussion with 80,000 Hours | numeric | 280 | 0.87 | 0 | 0 | 1 | 0.13 | 0.33 | ▇▁▁▁▁ |
Action: Changed your career plans based on EA principles
Distribution of values for action_change_career
280 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| action_change_career | Action: Changed your career plans based on EA principles | numeric | 280 | 0.87 | 0 | 0 | 1 | 0.44 | 0.5 | ▇▁▁▁▆ |
Action: Subscribed to the 80,000 Hours newsletter
Distribution of values for action_subscribe_80k
280 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| action_subscribe_80k | Action: Subscribed to the 80,000 Hours newsletter | numeric | 280 | 0.87 | 0 | 1 | 1 | 0.53 | 0.5 | ▇▁▁▁▇ |
Action: None of the above
Distribution of values for action_none
280 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| action_none | Action: None of the above | numeric | 280 | 0.87 | 0 | 0 | 1 | 0.13 | 0.33 | ▇▁▁▁▁ |
Name of EA org/project you worked on or interned for.
Distribution of values for ea_org_or_project
1719 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| ea_org_or_project | Name of EA org/project you worked on or interned for. | character | 1719 | 0.21 | 387 | 0 | 3 | 403 | 0 |
Which of the following are you a member of? EA Facebook group
Distribution of values for member_ea_fb
310 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| member_ea_fb | Which of the following are you a member of? EA Facebook group | numeric | 310 | 0.86 | 0 | 0 | 1 | 0.48 | 0.5 | ▇▁▁▁▇ |
Which of the following are you a member of? The Effective Altruism Forum
Distribution of values for member_ea_forum
310 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| member_ea_forum | Which of the following are you a member of? The Effective Altruism Forum | numeric | 310 | 0.86 | 0 | 0 | 1 | 0.38 | 0.49 | ▇▁▁▁▅ |
Which of the following are you a member of? LessWrong
Distribution of values for member_lesswrong
310 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| member_lesswrong | Which of the following are you a member of? LessWrong | numeric | 310 | 0.86 | 0 | 0 | 1 | 0.23 | 0.42 | ▇▁▁▁▂ |
Which of the following are you a member of? Local EA group
Distribution of values for member_ea_group
310 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| member_ea_group | Which of the following are you a member of? Local EA group | numeric | 310 | 0.86 | 0 | 0 | 1 | 0.5 | 0.5 | ▇▁▁▁▇ |
Which of the following are you a member of? None of the above
Distribution of values for member_none
310 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| member_none | Which of the following are you a member of? None of the above | numeric | 310 | 0.86 | 0 | 0 | 1 | 0.25 | 0.44 | ▇▁▁▁▃ |
If you are a member of a local EA group, which group are you a member of?
Distribution of values for local_group_original
1294 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| local_group_original | If you are a member of a local EA group, which group are you a member of? | character | 1294 | 0.4 | 442 | 0 | 5 | 324 | 0 |
My group is a place to which I’d feel comfortable bringing a friend
Distribution of values for group_comfortable_friend
1290 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| group_comfortable_friend | My group is a place to which I’d feel comfortable bringing a friend | factor | FALSE |
|
1290 | 0.4 | 5 | (5): 448, (4): 310, (3): 87, (2): 22 |
My group is a place where people express their beliefs with humility
Distribution of values for group_beliefs_humility
1300 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| group_beliefs_humility | My group is a place where people express their beliefs with humility | factor | FALSE |
|
1300 | 0.4 | 5 | (4): 388, (5): 302, (3): 143, (2): 25 |
My group supports me in taking action based on EA principles
Distribution of values for group_supports_action
1297 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| group_supports_action | My group supports me in taking action based on EA principles | factor | FALSE |
|
1297 | 0.4 | 5 | (5): 404, (4): 336, (3): 111, (2): 12 |
Influence your ability to make impact? 80,000 Hours (1-on-1 career discussion)
Distribution of values for influence_80k_one_on_one
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_80k_one_on_one | Influence your ability to make impact? 80,000 Hours (1-on-1 career discussion) | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.04 | 0.19 | ▇▁▁▁▁ |
Influence your ability to make impact? 80,000 Hours (website)
Distribution of values for influence_80k_website
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_80k_website | Influence your ability to make impact? 80,000 Hours (website) | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.37 | 0.48 | ▇▁▁▁▅ |
Influence your ability to make impact? 80,000 Hours (podcast)
Distribution of values for influence_80k_podcast
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_80k_podcast | Influence your ability to make impact? 80,000 Hours (podcast) | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.21 | 0.4 | ▇▁▁▁▂ |
Influence your ability to make impact? Podcast (other than 80,000 Hours)
Distribution of values for influence_podcast_other
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_podcast_other | Influence your ability to make impact? Podcast (other than 80,000 Hours) | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.09 | 0.28 | ▇▁▁▁▁ |
Influence your ability to make impact? Personal contact with EAs
Distribution of values for influence_personal_contact
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_personal_contact | Influence your ability to make impact? Personal contact with EAs | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.39 | 0.49 | ▇▁▁▁▅ |
Influence your ability to make impact? Books related to EA
Distribution of values for influence_books
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_books | Influence your ability to make impact? Books related to EA | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.21 | 0.41 | ▇▁▁▁▂ |
Influence your ability to make impact? Giving What We Can
Distribution of values for influence_gwwc
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_gwwc | Influence your ability to make impact? Giving What We Can | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.14 | 0.35 | ▇▁▁▁▁ |
Influence your ability to make impact? Local EA groups
Distribution of values for influence_local_group
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_local_group | Influence your ability to make impact? Local EA groups | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.26 | 0.44 | ▇▁▁▁▃ |
Influence your ability to make impact? GiveWell
Distribution of values for influence_givewell
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_givewell | Influence your ability to make impact? GiveWell | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.32 | 0.47 | ▇▁▁▁▃ |
Influence your ability to make impact? EA Global
Distribution of values for influence_ea_global
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_ea_global | Influence your ability to make impact? EA Global | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.1 | 0.3 | ▇▁▁▁▁ |
Influence your ability to make impact? EAGx
Distribution of values for influence_eagx
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_eagx | Influence your ability to make impact? EAGx | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.06 | 0.24 | ▇▁▁▁▁ |
Influence your ability to make impact? Animal Charity Evaluators
Distribution of values for influence_ace
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_ace | Influence your ability to make impact? Animal Charity Evaluators | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.06 | 0.24 | ▇▁▁▁▁ |
Influence your ability to make impact? The Life You Can Save
Distribution of values for influence_lycs
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_lycs | Influence your ability to make impact? The Life You Can Save | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.09 | 0.28 | ▇▁▁▁▁ |
Influence your ability to make impact? The EA Forum
Distribution of values for influence_ea_forum
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_ea_forum | Influence your ability to make impact? The EA Forum | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.12 | 0.33 | ▇▁▁▁▁ |
Influence your ability to make impact? Articles/blogs related to EA
Distribution of values for influence_articles_blogs
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_articles_blogs | Influence your ability to make impact? Articles/blogs related to EA | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.15 | 0.36 | ▇▁▁▁▂ |
Influence your ability to make impact? The EA Newsletter
Distribution of values for influence_ea_survey
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_ea_survey | Influence your ability to make impact? The EA Newsletter | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.06 | 0.23 | ▇▁▁▁▁ |
Influence your ability to make impact? Facebook groups related to EA
Distribution of values for influence_facebook_groups
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_facebook_groups | Influence your ability to make impact? Facebook groups related to EA | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.07 | 0.26 | ▇▁▁▁▁ |
Influence your ability to make impact? LessWrong
Distribution of values for influence_lesswrong
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_lesswrong | Influence your ability to make impact? LessWrong | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.12 | 0.32 | ▇▁▁▁▁ |
Influence your ability to make impact? Slate Star Codex
Distribution of values for influence_slate_star
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_slate_star | Influence your ability to make impact? Slate Star Codex | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.12 | 0.32 | ▇▁▁▁▁ |
Influence your ability to make impact? WANBAM
Distribution of values for influence_wanbam
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_wanbam | Influence your ability to make impact? WANBAM | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.01 | 0.1 | ▇▁▁▁▁ |
Influence your ability to make impact? Animal Advocacy Careers
Distribution of values for influence_aac
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_aac | Influence your ability to make impact? Animal Advocacy Careers | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.01 | 0.11 | ▇▁▁▁▁ |
Influence your ability to make impact? None of the above
Distribution of values for influence_none
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_none | Influence your ability to make impact? None of the above | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.03 | 0.18 | ▇▁▁▁▁ |
Influence your ability to make impact? Other
Distribution of values for influence_other
413 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| influence_other | Influence your ability to make impact? Other | numeric | 413 | 0.81 | 0 | 0 | 1 | 0.09 | 0.29 | ▇▁▁▁▁ |
Negative impact on your involvement with EA so far? 80,000 Hours
Distribution of values for negative_80k
1026 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| negative_80k | Negative impact on your involvement with EA so far? 80,000 Hours | numeric | 1026 | 0.53 | 0 | 0 | 1 | 0.1 | 0.29 | ▇▁▁▁▁ |
Negative impact on your involvement with EA so far? Podcast (not 80,000 Hours)
Distribution of values for negative_podcast
1026 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| negative_podcast | Negative impact on your involvement with EA so far? Podcast (not 80,000 Hours) | numeric | 1026 | 0.53 | 0 | 0 | 1 | 0.01 | 0.07 | ▇▁▁▁▁ |
Negative impact on your involvement with EA so far? GiveWell
Distribution of values for negative_givewell
1026 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| negative_givewell | Negative impact on your involvement with EA so far? GiveWell | numeric | 1026 | 0.53 | 0 | 0 | 1 | 0.01 | 0.08 | ▇▁▁▁▁ |
Negative impact on your involvement with EA so far? Personal contact with EAs
Distribution of values for negative_personal_contact
1026 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| negative_personal_contact | Negative impact on your involvement with EA so far? Personal contact with EAs | numeric | 1026 | 0.53 | 0 | 0 | 1 | 0.13 | 0.34 | ▇▁▁▁▁ |
Negative impact on your involvement with EA so far? Books related to EA
Distribution of values for negative_books
1026 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| negative_books | Negative impact on your involvement with EA so far? Books related to EA | numeric | 1026 | 0.53 | 0 | 0 | 1 | 0.01 | 0.1 | ▇▁▁▁▁ |
Negative impact on your involvement with EA so far? Giving What We Can
Distribution of values for negative_gwwc
1026 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| negative_gwwc | Negative impact on your involvement with EA so far? Giving What We Can | numeric | 1026 | 0.53 | 0 | 0 | 1 | 0.01 | 0.11 | ▇▁▁▁▁ |
Negative impact on your involvement with EA so far? Local EA groups
Distribution of values for negative_local_group
1026 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| negative_local_group | Negative impact on your involvement with EA so far? Local EA groups | numeric | 1026 | 0.53 | 0 | 0 | 1 | 0.07 | 0.25 | ▇▁▁▁▁ |
Negative impact on your involvement with EA so far? LessWrong
Distribution of values for negative_lesswrong
1026 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| negative_lesswrong | Negative impact on your involvement with EA so far? LessWrong | numeric | 1026 | 0.53 | 0 | 0 | 1 | 0.08 | 0.27 | ▇▁▁▁▁ |
Negative impact on your involvement with EA so far? SlateStarCodex
Distribution of values for negative_slate_star
1026 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| negative_slate_star | Negative impact on your involvement with EA so far? SlateStarCodex | numeric | 1026 | 0.53 | 0 | 0 | 1 | 0.03 | 0.18 | ▇▁▁▁▁ |
Negative impact on your involvement with EA so far? EA Global
Distribution of values for negative_ea_global
1026 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| negative_ea_global | Negative impact on your involvement with EA so far? EA Global | numeric | 1026 | 0.53 | 0 | 0 | 1 | 0.04 | 0.18 | ▇▁▁▁▁ |
Negative impact on your involvement with EA so far? EAGx
Distribution of values for negative_eagx
1026 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| negative_eagx | Negative impact on your involvement with EA so far? EAGx | numeric | 1026 | 0.53 | 0 | 0 | 1 | 0.01 | 0.09 | ▇▁▁▁▁ |
Negative impact on your involvement with EA so far? FB groups related to EA
Distribution of values for negative_facebook_group
1026 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| negative_facebook_group | Negative impact on your involvement with EA so far? FB groups related to EA | numeric | 1026 | 0.53 | 0 | 0 | 1 | 0.06 | 0.24 | ▇▁▁▁▁ |
Negative impact on your involvement with EA so far? The EA Forum
Distribution of values for negative_ea_forum
1026 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| negative_ea_forum | Negative impact on your involvement with EA so far? The EA Forum | numeric | 1026 | 0.53 | 0 | 0 | 1 | 0.07 | 0.25 | ▇▁▁▁▁ |
Negative impact on your involvement with EA so far? Articles/blogs related EA
Distribution of values for negative_articles_blogs
1026 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| negative_articles_blogs | Negative impact on your involvement with EA so far? Articles/blogs related EA | numeric | 1026 | 0.53 | 0 | 0 | 1 | 0.04 | 0.18 | ▇▁▁▁▁ |
Negative impact on your involvement with EA so far? An EA Fellowship
Distribution of values for negative_ea_fellowship
1026 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| negative_ea_fellowship | Negative impact on your involvement with EA so far? An EA Fellowship | numeric | 1026 | 0.53 | 0 | 0 | 1 | 0 | 0.06 | ▇▁▁▁▁ |
Negative impact on your involvement with EA so far? EAGx
Distribution of values for negative_eagx2
1026 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| negative_eagx2 | Negative impact on your involvement with EA so far? EAGx | numeric | 1026 | 0.53 | 0 | 0 | 1 | 0.01 | 0.07 | ▇▁▁▁▁ |
Negative impact on your involvement with EA so far? WANBAM
Distribution of values for negative_wanbam
1026 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| negative_wanbam | Negative impact on your involvement with EA so far? WANBAM | numeric | 1026 | 0.53 | 0 | 0 | 1 | 0.01 | 0.09 | ▇▁▁▁▁ |
Negative impact on your involvement with EA so far? None of the above
Distribution of values for negative_none
1026 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| negative_none | Negative impact on your involvement with EA so far? None of the above | numeric | 1026 | 0.53 | 0 | 1 | 1 | 0.57 | 0.49 | ▆▁▁▁▇ |
Negative impact on your involvement with EA so far? Other
Distribution of values for negative_other
1026 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| negative_other | Negative impact on your involvement with EA so far? Other | numeric | 1026 | 0.53 | 0 | 0 | 1 | 0.09 | 0.28 | ▇▁▁▁▁ |
Negative impact on your involvement with EA so far? Open-Ended Response
Distribution of values for negative_response
1809 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| negative_response | Negative impact on your involvement with EA so far? Open-Ended Response | character | 1809 | 0.16 | 349 | 0 | 2 | 1753 | 0 |
Affected your likelihood of staying engaged with EA? The EA Forum
Distribution of values for engaged_ea_forum
1443 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| engaged_ea_forum | Affected your likelihood of staying engaged with EA? The EA Forum | factor | FALSE |
|
1443 | 0.33 | 7 | Mad: 310, Mad: 184, Sig: 122, Mad: 44 |
Affected your likelihood of staying engaged with EA? The online EA community
Distribution of values for engaged_online_community
1362 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| engaged_online_community | Affected your likelihood of staying engaged with EA? The online EA community | factor | FALSE |
|
1362 | 0.37 | 7 | Mad: 342, Mad: 181, Sig: 120, Mad: 88 |
Affected your likelihood of staying engaged with EA? Local EA groups
Distribution of values for engaged_local_groups
1320 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| engaged_local_groups | Affected your likelihood of staying engaged with EA? Local EA groups | factor | FALSE |
|
1320 | 0.39 | 7 | Mad: 269, Mad: 265, Mad: 193, Sig: 68 |
Affected your likelihood of staying engaged with EA? An EA Fellowship
Distribution of values for engaged_ea_fellowship
1937 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| engaged_ea_fellowship | Affected your likelihood of staying engaged with EA? An EA Fellowship | factor | FALSE |
|
1937 | 0.1 | 6 | Mad: 81, Mad: 74, Mad: 43, Sig: 23 |
Affected your likelihood of staying engaged with EA? Giving What We Can
Distribution of values for engaged_gwwc
1673 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| engaged_gwwc | Affected your likelihood of staying engaged with EA? Giving What We Can | factor | FALSE |
|
1673 | 0.23 | 7 | Mad: 207, Mad: 128, Sig: 75, Mad: 64 |
Affected your likelihood of staying engaged with EA? EA Global
Distribution of values for engaged_ea_global
1790 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| engaged_ea_global | Affected your likelihood of staying engaged with EA? EA Global | factor | FALSE |
|
1790 | 0.17 | 7 | Mad: 138, Mad: 87, Sig: 66, Mad: 63 |
Affected your likelihood of staying engaged with EA? EAGx
Distribution of values for engaged_eagx
1775 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| engaged_eagx | Affected your likelihood of staying engaged with EA? EAGx | factor | FALSE |
|
1775 | 0.18 | 7 | Mad: 139, Mad: 104, Sig: 67, Mad: 65 |
Affected your likelihood of staying engaged with EA? WANBAM
Distribution of values for engaged_wanbam
2055 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| engaged_wanbam | Affected your likelihood of staying engaged with EA? WANBAM | factor | FALSE |
|
2055 | 0.05 | 7 | Mad: 29, Sig: 26, Mad: 21, Mad: 19 |
Affected your likelihood of staying engaged with EA? Personal contacts
Distribution of values for engaged_personal_contact
1068 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| engaged_personal_contact | Affected your likelihood of staying engaged with EA? Personal contacts | factor | FALSE |
|
1068 | 0.51 | 7 | Mad: 380, Mad: 356, Mad: 251, Sig: 74 |
Affected your likelihood of staying engaged with EA? 80,000 Hours (podcast)
Distribution of values for engaged_80k_podcast
1298 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| engaged_80k_podcast | Affected your likelihood of staying engaged with EA? 80,000 Hours (podcast) | factor | FALSE |
|
1298 | 0.4 | 7 | Mad: 371, Mad: 223, Sig: 139, Mad: 97 |
Affected your likelihood of staying engaged with EA? 80,000 Hours (website)
Distribution of values for engaged_80k_hours
1234 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| engaged_80k_hours | Affected your likelihood of staying engaged with EA? 80,000 Hours (website) | factor | FALSE |
|
1234 | 0.43 | 7 | Mad: 396, Mad: 230, Sig: 139, Mad: 111 |
Affected your likelihood of staying engaged with EA? 80k Hours (1-on-1 career)
Distribution of values for engaged_80k_one_on_one
2045 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| engaged_80k_one_on_one | Affected your likelihood of staying engaged with EA? 80k Hours (1-on-1 career) | factor | FALSE |
|
2045 | 0.05 | 7 | Mad: 35, Mad: 25, Sig: 24, Mad: 20 |
Affected your likelihood of staying engaged with EA? GiveWell
Distribution of values for engaged_givewell
1410 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| engaged_givewell | Affected your likelihood of staying engaged with EA? GiveWell | factor | FALSE |
|
1410 | 0.35 | 7 | Mad: 311, Mad: 244, Sig: 89, Mad: 87 |
Affected your likelihood of staying engaged with EA? LessWrong
Distribution of values for engaged_lesswrong
1601 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| engaged_lesswrong | Affected your likelihood of staying engaged with EA? LessWrong | factor | FALSE |
|
1601 | 0.26 | 7 | Mad: 205, Sig: 153, Mad: 94, Mad: 50 |
Affected your likelihood of staying engaged with EA? Slate Star Codex
Distribution of values for engaged_slate_star
1589 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| engaged_slate_star | Affected your likelihood of staying engaged with EA? Slate Star Codex | factor | FALSE |
|
1589 | 0.27 | 7 | Mad: 198, Sig: 186, Mad: 112, Mad: 30 |
Are there other things which have substantially affected your impact?
Distribution of values for substantial_affect_impact
1699 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| substantial_affect_impact | Are there other things which have substantially affected your impact? | character | 1699 | 0.21 | 454 | 0 | 2 | 2642 | 0 |
Distribution of values for prioritize_animal_welfare
561 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| prioritize_animal_welfare | factor | FALSE |
|
561 | 0.74 | 5 | 3: 576, 4: 455, 2: 316, 5: 158 | NA |
Distribution of values for prioritize_causes
689 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| prioritize_causes | factor | FALSE |
|
689 | 0.68 | 5 | 4: 509, 3: 434, 5: 278, 2: 228 | NA |
Distribution of values for prioritize_climate_change
561 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| prioritize_climate_change | factor | FALSE |
|
561 | 0.74 | 5 | 3: 433, 4: 432, 2: 339, 5: 307 | NA |
Distribution of values for prioritize_biosecurity
583 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| prioritize_biosecurity | factor | FALSE |
|
583 | 0.73 | 5 | 4: 657, 3: 532, 2: 224, 5: 136 | NA |
Distribution of values for prioritize_nuclear_security
652 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| prioritize_nuclear_security | factor | FALSE |
|
652 | 0.7 | 5 | 3: 593, 2: 385, 4: 369, 5: 92 | NA |
Distribution of values for prioritize_ai_risks
601 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| prioritize_ai_risks | factor | FALSE |
|
601 | 0.72 | 5 | 4: 560, 3: 395, 5: 311, 2: 229 | NA |
Distribution of values for prioritize_mental_health
641 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| prioritize_mental_health | factor | FALSE |
|
641 | 0.7 | 5 | 3: 549, 2: 489, 4: 287, 1: 118 | NA |
Distribution of values for prioritize_global_poverty
539 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| prioritize_global_poverty | factor | FALSE |
|
539 | 0.75 | 5 | 4: 603, 3: 412, 5: 374, 2: 208 | NA |
Distribution of values for prioritize_meta
1107 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| prioritize_meta | factor | FALSE |
|
1107 | 0.49 | 5 | 3: 366, 2: 363, 4: 206, 5: 62 | NA |
Distribution of values for prioritize_ea_movement
639 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| prioritize_ea_movement | factor | FALSE |
|
639 | 0.7 | 5 | 3: 558, 4: 469, 2: 308, 5: 164 | NA |
Distribution of values for prioritize_x_risks
678 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| prioritize_x_risks | factor | FALSE |
|
678 | 0.69 | 5 | 3: 504, 4: 484, 2: 280, 5: 164 | NA |
Distribution of values for prioritize_broad_longtermism
758 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| prioritize_broad_longtermism | factor | FALSE |
|
758 | 0.65 | 5 | 3: 445, 4: 390, 2: 359, 5: 142 | NA |
Are there any other causes you feel should be priorities for the EA community?
Distribution of values for prioritize_other
1697 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| prioritize_other | Are there any other causes you feel should be priorities for the EA community? | character | 1697 | 0.22 | 458 | 0 | 2 | 608 | 0 |
Distribution of values for currency
555 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| currency | character | 555 | 0.74 | 22 | 0 | 3 | 3 | 0 | NA |
Please select the currency that pertains to you. Other
Distribution of values for currency_other
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| currency_other | Please select the currency that pertains to you. Other | character | 0 | 1 | 94 | 1961 | 0 | 37 | 0 |
What was your pre-tax individual income in 2019?
Distribution of values for income
665 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| income | What was your pre-tax individual income in 2019? | numeric | 665 | 0.69 | 0 | 35000 | 36000000 | 151598 | 1104476 | ▇▁▁▁▁ |
In 2019, roughly how much money did you donate?
Distribution of values for donation_2019
647 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| donation_2019 | In 2019, roughly how much money did you donate? | numeric | 647 | 0.7 | 0 | 600 | 3e+06 | 12315 | 109658 | ▇▁▁▁▁ |
In 2020, how much do you currently plan to donate?
Distribution of values for donation_2020
669 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| donation_2020 | In 2020, how much do you currently plan to donate? | numeric | 669 | 0.69 | 0 | 1200 | 3e+06 | 15640 | 113144 | ▇▁▁▁▁ |
Are you presently saving money to donate later, rather than donate now?
Distribution of values for donate_later
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| donate_later | Are you presently saving money to donate later, rather than donate now? | character | 0 | 1 | 3 | 623 | 0 | 21 | 0 |
If applicable, which university or universities did you attend?
Distribution of values for university_original
712 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| university_original | If applicable, which university or universities did you attend? | character | 712 | 0.67 | 1079 | 0 | 1 | 141 | 0 |
In which year were you born?
Distribution of values for birth_year
505 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| birth_year | In which year were you born? | numeric | 505 | 0.77 | 1918 | 1993 | 2016 | 1990 | 9.8 | ▁▁▁▇▃ |
Gender, original
Distribution of values for gender_original
526 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| gender_original | Gender, original | character | 526 | 0.76 | 88 | 0 | 1 | 82 | 0 |
What is your sexual orientation?
Distribution of values for sexual_orientation
686 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| sexual_orientation | What is your sexual orientation? | character | 686 | 0.68 | 166 | 0 | 1 | 123 | 0 |
Distribution of values for country
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| country | character | 0 | 1 | 62 | 503 | 0 | 24 | 0 | NA |
In what town/city/metropolitan area do you live? Other
Distribution of values for city_other
1296 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| city_other | In what town/city/metropolitan area do you live? Other | character | 1296 | 0.4 | 465 | 0 | 2 | 88 | 0 |
How well does the EA community compare to your ideal?
Distribution of values for ea_community_ideal
617 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| ea_community_ideal | How well does the EA community compare to your ideal? | numeric | 617 | 0.71 | 1 | 7 | 10 | 7 | 1.7 | ▁▁▃▇▂ |
What is your overall satisfaction with the EA community?
Distribution of values for ea_community_satisfaction
624 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| ea_community_satisfaction | What is your overall satisfaction with the EA community? | numeric | 624 | 0.71 | 1 | 8 | 10 | 7.3 | 1.7 | ▁▁▃▇▃ |
Why did you give the two ratings above? Open-Ended Response
Distribution of values for ea_community_why
1101 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| ea_community_why | Why did you give the two ratings above? Open-Ended Response | character | 1101 | 0.49 | 1062 | 0 | 6 | 2291 | 0 |
Agree: The EA community helps me have more impact.
Distribution of values for agree_ea_helps_impact
603 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| agree_ea_helps_impact | Agree: The EA community helps me have more impact. | factor | FALSE |
|
603 | 0.72 | 5 | (4): 634, (3): 413, (5): 355, (2): 105 |
Agree: I feel that I am a part of the effective altruism community.
Distribution of values for agree_part_of_ea_community
584 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| agree_part_of_ea_community | Agree: I feel that I am a part of the effective altruism community. | factor | FALSE |
|
584 | 0.73 | 5 | (4): 621, (5): 353, (3): 334, (2): 214 |
How excited would you be to introduce a friend to the EA community?
Distribution of values for friend_introduce
581 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| friend_introduce | How excited would you be to introduce a friend to the EA community? | numeric | 581 | 0.73 | 1 | 8 | 10 | 7.7 | 2 | ▁▁▃▇▇ |
80,000 Hours - Changed mind or learned something important
Distribution of values for learned_80k
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| learned_80k | 80,000 Hours - Changed mind or learned something important | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.39 | 0.49 | ▇▁▁▁▅ |
80,000 Hours - New interesting and valuable connection
Distribution of values for connection_80k
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| connection_80k | 80,000 Hours - New interesting and valuable connection | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.09 | 0.28 | ▇▁▁▁▁ |
EA Global - Changed mind or learned something important
Distribution of values for learned_ea_global
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| learned_ea_global | EA Global - Changed mind or learned something important | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.07 | 0.25 | ▇▁▁▁▁ |
EA Global - New interesting and valuable connection
Distribution of values for connection_ea_global
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| connection_ea_global | EA Global - New interesting and valuable connection | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.11 | 0.31 | ▇▁▁▁▁ |
EA Hub - Changed mind or learned something important
Distribution of values for learned_ea_hub
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| learned_ea_hub | EA Hub - Changed mind or learned something important | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.02 | 0.14 | ▇▁▁▁▁ |
EA Hub - New interesting and valuable connection
Distribution of values for connection_ea_hub
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| connection_ea_hub | EA Hub - New interesting and valuable connection | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.02 | 0.14 | ▇▁▁▁▁ |
EA Student Career Mentoring - Changed mind or learned something important
Distribution of values for learned_ea_student_mentoring
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| learned_ea_student_mentoring | EA Student Career Mentoring - Changed mind or learned something important | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.03 | 0.16 | ▇▁▁▁▁ |
EA Student Career Mentoring - New interesting and valuable connection
Distribution of values for connection_ea_student_mentor
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| connection_ea_student_mentor | EA Student Career Mentoring - New interesting and valuable connection | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.03 | 0.18 | ▇▁▁▁▁ |
EAGx - Changed mind or learned something important
Distribution of values for learned_eagx
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| learned_eagx | EAGx - Changed mind or learned something important | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.07 | 0.26 | ▇▁▁▁▁ |
EAGx - New interesting and valuable connection
Distribution of values for connection_eagx
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| connection_eagx | EAGx - New interesting and valuable connection | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.11 | 0.32 | ▇▁▁▁▁ |
Effective Thesis - Changed mind or learned something important
Distribution of values for learned_effective_thesis
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| learned_effective_thesis | Effective Thesis - Changed mind or learned something important | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.02 | 0.15 | ▇▁▁▁▁ |
Effective Thesis - New interesting and valuable connection
Distribution of values for connection_effective_thesis
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| connection_effective_thesis | Effective Thesis - New interesting and valuable connection | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.03 | 0.16 | ▇▁▁▁▁ |
Facebook groups related to EA - Changed mind or learned something important
Distribution of values for learned_facebook_group
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| learned_facebook_group | Facebook groups related to EA - Changed mind or learned something important | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.09 | 0.28 | ▇▁▁▁▁ |
Facebook groups related to EA - New interesting and valuable connection
Distribution of values for connection_facebook_group
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| connection_facebook_group | Facebook groups related to EA - New interesting and valuable connection | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.09 | 0.28 | ▇▁▁▁▁ |
Giving What We Can - Changed mind or learned something important
Distribution of values for learned_gwwc
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| learned_gwwc | Giving What We Can - Changed mind or learned something important | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.07 | 0.25 | ▇▁▁▁▁ |
Giving What We Can - New interesting and valuable connection
Distribution of values for connection_gwwc
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| connection_gwwc | Giving What We Can - New interesting and valuable connection | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.05 | 0.21 | ▇▁▁▁▁ |
International EA social events - Changed mind or learned something important
Distribution of values for learned_intl_ea_events
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| learned_intl_ea_events | International EA social events - Changed mind or learned something important | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.04 | 0.21 | ▇▁▁▁▁ |
International EA social events - New interesting and valuable connection
Distribution of values for connection_intl_ea_events
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| connection_intl_ea_events | International EA social events - New interesting and valuable connection | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.09 | 0.28 | ▇▁▁▁▁ |
A personal connection - Changed mind or learned something important
Distribution of values for learned_personal_connection
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| learned_personal_connection | A personal connection - Changed mind or learned something important | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.27 | 0.44 | ▇▁▁▁▃ |
A personal connection - New interesting and valuable connection
Distribution of values for connection_personal_contact
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| connection_personal_contact | A personal connection - New interesting and valuable connection | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.27 | 0.45 | ▇▁▁▁▃ |
LessWrong - Changed mind or learned something important
Distribution of values for learned_lesswrong
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| learned_lesswrong | LessWrong - Changed mind or learned something important | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.14 | 0.35 | ▇▁▁▁▂ |
LessWrong - New interesting and valuable connection
Distribution of values for connection_lesswrong
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| connection_lesswrong | LessWrong - New interesting and valuable connection | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.05 | 0.22 | ▇▁▁▁▁ |
Local EA groups - Changed mind or learned something important
Distribution of values for learned_local_group
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| learned_local_group | Local EA groups - Changed mind or learned something important | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.17 | 0.38 | ▇▁▁▁▂ |
Local EA groups - New interesting and valuable connection
Distribution of values for connection_local_groups
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| connection_local_groups | Local EA groups - New interesting and valuable connection | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.27 | 0.45 | ▇▁▁▁▃ |
Non-local meetups - Changed mind or learned something important
Distribution of values for learned_non_local_group
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| learned_non_local_group | Non-local meetups - Changed mind or learned something important | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.02 | 0.16 | ▇▁▁▁▁ |
Non-local meetups - New interesting and valuable connection
Distribution of values for connection_non_local_group
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| connection_non_local_group | Non-local meetups - New interesting and valuable connection | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.05 | 0.22 | ▇▁▁▁▁ |
The EA Forum - Changed mind or learned something important
Distribution of values for learned_ea_forum
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| learned_ea_forum | The EA Forum - Changed mind or learned something important | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.19 | 0.4 | ▇▁▁▁▂ |
The EA Forum - New interesting and valuable connection
Distribution of values for connection_ea_forum
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| connection_ea_forum | The EA Forum - New interesting and valuable connection | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.06 | 0.23 | ▇▁▁▁▁ |
EA books - Changed mind or learned something important
Distribution of values for learned_ea_books
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| learned_ea_books | EA books - Changed mind or learned something important | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.24 | 0.43 | ▇▁▁▁▂ |
EA books - New interesting and valuable connection
Distribution of values for connection_ea_books
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| connection_ea_books | EA books - New interesting and valuable connection | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.05 | 0.23 | ▇▁▁▁▁ |
None of the above - Changed mind or learned something important
Distribution of values for learned_none
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| learned_none | None of the above - Changed mind or learned something important | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.08 | 0.28 | ▇▁▁▁▁ |
None of the above - New interesting and valuable connection
Distribution of values for connection_none
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| connection_none | None of the above - New interesting and valuable connection | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.09 | 0.29 | ▇▁▁▁▁ |
Other (please specify)
Distribution of values for learned_connection_other
829 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| learned_connection_other | Other (please specify) | numeric | 829 | 0.62 | 0 | 0 | 1 | 0.08 | 0.28 | ▇▁▁▁▁ |
Interested in: A reading group to discuss Doing Good Better
Distribution of values for participate_doing_good_better
1941 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| participate_doing_good_better | Interested in: A reading group to discuss Doing Good Better | numeric | 1941 | 0.1 | 1 | 1 | 1 | 1 | 0 | ▁▁▇▁▁ |
Interested in: A reading group to discuss The Precipice
Distribution of values for participate_the_precipice
1847 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| participate_the_precipice | Interested in: A reading group to discuss The Precipice | numeric | 1847 | 0.15 | 1 | 1 | 1 | 1 | 0 | ▁▁▇▁▁ |
Interested in: A fellowship covering the basics of effective altruism
Distribution of values for participate_fellowship_intro
1973 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| participate_fellowship_intro | Interested in: A fellowship covering the basics of effective altruism | numeric | 1973 | 0.09 | 1 | 1 | 1 | 1 | 0 | ▁▁▇▁▁ |
Interested in: A fellowship covering advanced principles of effective altruism
Distribution of values for participate_fellowship_adv
1702 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| participate_fellowship_adv | Interested in: A fellowship covering advanced principles of effective altruism | numeric | 1702 | 0.21 | 1 | 1 | 1 | 1 | 0 | ▁▁▇▁▁ |
Interested in: An 80,000 Hours podcast discussion group
Distribution of values for participate_80k_pod_discuss
1901 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| participate_80k_pod_discuss | Interested in: An 80,000 Hours podcast discussion group | numeric | 1901 | 0.12 | 1 | 1 | 1 | 1 | 0 | ▁▁▇▁▁ |
Interested in: A 4-part fellowship using the 80k tool for career planning
Distribution of values for participate_fellowship_career
1735 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| participate_fellowship_career | Interested in: A 4-part fellowship using the 80k tool for career planning | numeric | 1735 | 0.2 | 1 | 1 | 1 | 1 | 0 | ▁▁▇▁▁ |
Interested in: A fellowship covering key ideas related to your top cause area
Distribution of values for participate_fellowship_causes
1694 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| participate_fellowship_causes | Interested in: A fellowship covering key ideas related to your top cause area | numeric | 1694 | 0.22 | 1 | 1 | 1 | 1 | 0 | ▁▁▇▁▁ |
Interested in: An introductory 1-on-1 convo to discuss the basic ideas of EA
Distribution of values for participate_intro_one_on_one
2030 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| participate_intro_one_on_one | Interested in: An introductory 1-on-1 convo to discuss the basic ideas of EA | numeric | 2030 | 0.06 | 1 | 1 | 1 | 1 | 0 | ▁▁▇▁▁ |
Interested in: A one-time information session about GWWC / Try Giving
Distribution of values for participate_gwwc_info_session
2019 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| participate_gwwc_info_session | Interested in: A one-time information session about GWWC / Try Giving | numeric | 2019 | 0.07 | 1 | 1 | 1 | 1 | 0 | ▁▁▇▁▁ |
Interested in: A one-time discussion about where other EAs are donating
Distribution of values for participate_donation_discuss
1854 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| participate_donation_discuss | Interested in: A one-time discussion about where other EAs are donating | numeric | 1854 | 0.14 | 1 | 1 | 1 | 1 | 0 | ▁▁▇▁▁ |
May we (CEA) contact you if the activit(ies) you selected become(s) available?
Distribution of values for participate_contact
765 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| participate_contact | May we (CEA) contact you if the activit(ies) you selected become(s) available? | numeric | 765 | 0.65 | 1 | 1 | 1 | 1 | 0 | ▁▁▇▁▁ |
Please send me an e-mail to next year’s survey
Distribution of values for email_next_survey
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| email_next_survey | Please send me an e-mail to next year’s survey | character | 0 | 1 | 2 | 868 | 0 | 46 | 0 |
Please e-mail me relevant followup surveys
Distribution of values for email_followup_surveys
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| email_followup_surveys | Please e-mail me relevant followup surveys | character | 0 | 1 | 2 | 1289 | 0 | 42 | 0 |
Don’t e-mail me about future surveys
Distribution of values for email_dont_email
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| email_dont_email | Don’t e-mail me about future surveys | character | 0 | 1 | 2 | 2054 | 0 | 36 | 0 |
Would you like a personal profile on the EA Hub?
Distribution of values for profile_ea_hub
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| profile_ea_hub | Would you like a personal profile on the EA Hub? | character | 0 | 1 | 3 | 644 | 0 | 91 | 0 |
Agree: It’s possible to roughly quantify and compare different types of impact
Distribution of values for agree_quantify_compare_impact
1119 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| agree_quantify_compare_impact | Agree: It’s possible to roughly quantify and compare different types of impact | factor | FALSE |
|
1119 | 0.48 | 6 | (6): 505, (7): 354, (5): 150, (4): 16 |
Agree: Some ways of doing good are substantially better than others
Distribution of values for agree_ways_better_than_others
1117 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| agree_ways_better_than_others | Agree: Some ways of doing good are substantially better than others | factor | FALSE |
|
1117 | 0.48 | 5 | (7): 803, (6): 204, (5): 28, (4): 9 |
Agree: It makes sense to be open to working on any cause
Distribution of values for agree_work_on_any_cause
1122 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| agree_work_on_any_cause | Agree: It makes sense to be open to working on any cause | factor | FALSE |
|
1122 | 0.48 | 7 | (6): 371, (7): 370, (5): 156, (3): 57 |
Agree: Farmed animals deserve our moral concern
Distribution of values for agree_farmed_animals_concern
1114 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| agree_farmed_animals_concern | Agree: Farmed animals deserve our moral concern | factor | FALSE |
|
1114 | 0.49 | 7 | (7): 603, (6): 263, (5): 117, (4): 30 |
Agree: The impact of our actions on the very long-term future is most important
Distribution of values for agree_longtermism
1117 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| agree_longtermism | Agree: The impact of our actions on the very long-term future is most important | factor | FALSE |
|
1117 | 0.48 | 7 | (6): 263, (5): 242, (7): 213, (4): 143 |
If possible, could you please explain your answer?
Distribution of values for reputation_effect_explanation
1668 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| reputation_effect_explanation | If possible, could you please explain your answer? | character | 1668 | 0.23 | 496 | 0 | 3 | 1336 | 0 |
Are there any things which you think currently bottleneck your positive impact?
Distribution of values for bottleneck_productivity
1627 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| bottleneck_productivity | Are there any things which you think currently bottleneck your positive impact? | character | 1627 | 0.25 | 530 | 0 | 2 | 1200 | 0 |
What do you personally dislike about the EA community and EA/EA-adjacent ideas?
Distribution of values for dislike_ea_community
1611 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| dislike_ea_community | What do you personally dislike about the EA community and EA/EA-adjacent ideas? | character | 1611 | 0.26 | 545 | 0 | 1 | 2668 | 0 |
Roughly how much did you donate in 2019? Rethink Charity
Distribution of values for donate_rethink_charity
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| donate_rethink_charity | Roughly how much did you donate in 2019? Rethink Charity | character | 0 | 1 | 13 | 2013 | 0 | 33 | 0 |
Roughly how much did you donate in 2019? 80,000 Hours
Distribution of values for donate_80k
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| donate_80k | Roughly how much did you donate in 2019? 80,000 Hours | character | 0 | 1 | 10 | 2018 | 0 | 5 | 0 |
Roughly how much did you donate in 2019? Center For Applied Rationality
Distribution of values for donate_center_applied_rational
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| donate_center_applied_rational | Roughly how much did you donate in 2019? Center For Applied Rationality | character | 0 | 1 | 4 | 2023 | 0 | 3 | 0 |
Roughly how much did you donate in 2019? Mercy For Animals
Distribution of values for donate_mercy_for_animals
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| donate_mercy_for_animals | Roughly how much did you donate in 2019? Mercy For Animals | character | 0 | 1 | 15 | 2012 | 0 | 19 | 0 |
Roughly how much did you donate in 2019? Other (please specify)
Distribution of values for donate_other1
1912 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| donate_other1 | Roughly how much did you donate in 2019? Other (please specify) | character | 1912 | 0.12 | 229 | 0 | 1 | 315 | 0 |
Roughly how much did you donate in 2019? Other 2 (please specify)
Distribution of values for donate_other2
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| donate_other2 | Roughly how much did you donate in 2019? Other 2 (please specify) | character | 0 | 1 | 104 | 2042 | 0 | 74 | 0 |
Roughly how much did you donate in 2019? Other 3 (please specify)
Distribution of values for donate_other3
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| donate_other3 | Roughly how much did you donate in 2019? Other 3 (please specify) | character | 0 | 1 | 61 | 2086 | 0 | 62 | 0 |
Roughly how much did you donate in 2019? Other 4 (please specify)
Distribution of values for donate_other4
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| donate_other4 | Roughly how much did you donate in 2019? Other 4 (please specify) | character | 0 | 1 | 34 | 2114 | 0 | 74 | 0 |
Roughly how much did you donate in 2019? Other 5 (please specify)
Distribution of values for donate_other5
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| donate_other5 | Roughly how much did you donate in 2019? Other 5 (please specify) | character | 0 | 1 | 17 | 2131 | 0 | 61 | 0 |
Date Created
Distribution of values for datecreated
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| datecreated | Date Created | character | 0 | 1 | 22 | 0 | 22 | 22 | 0 |
Distribution of values for group_name_original
1294 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| group_name_original | character | 1294 | 0.4 | 442 | 0 | 5 | 324 | 0 |
Group Name, manually assigned
Distribution of values for group_name_manual
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| group_name_manual | Group Name, manually assigned | character | 0 | 1 | 213 | 1296 | 0 | 66 | 0 |
Distribution of values for first_hear_qual
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| first_hear_qual | character | 0 | 1 | 127 | 1004 | 0 | 21 | 0 |
Distribution of values for _merge
0 missing values.
| name | label | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts |
|---|---|---|---|---|---|---|---|---|
| _merge | factor | FALSE |
|
0 | 1 | 1 | mat: 2164, mas: 0, usi: 0, mis: 0 |
Distribution of values for ea_id
1937 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| ea_id | character | 1937 | 0.1 | 227 | 0 | 32 | 32 | 0 | NA |
Distribution of values for ea_id2
175 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| ea_id2 | character | 175 | 0.92 | 1932 | 0 | 32 | 32 | 0 | NA |
Distribution of values for ea_id3
1954 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| ea_id3 | character | 1954 | 0.1 | 210 | 0 | 32 | 32 | 0 | NA |
Distribution of values for engagement
259 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| engagement | factor | FALSE |
|
259 | 0.88 | 5 | (3): 569, (4): 561, (5): 371, (2): 359 | NA |
Distribution of values for capital_over_impact
496 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| capital_over_impact | factor | FALSE |
|
496 | 0.77 | 6 | Str: 438, Mod: 424, Pri: 279, Mod: 243 | NA |
Distribution of values for financial_instability
493 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| financial_instability | factor | FALSE |
|
493 | 0.77 | 6 | Nev: 753, Rar: 393, Som: 300, Oft: 136 | NA |
Distribution of values for first_generation_student
492 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| first_generation_student | factor | FALSE |
|
492 | 0.77 | 2 | No: 1384, Yes: 288 | NA |
Distribution of values for reputation_effect
1169 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| reputation_effect | factor | FALSE |
|
1169 | 0.46 | 4 | No,: 442, Yes: 307, Yes: 200, Yes: 46 | NA |
Distribution of values for year_involved
270 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| year_involved | factor | FALSE |
|
270 | 0.88 | 13 | 202: 329, 201: 292, 201: 261, 201: 254 | NA |
Distribution of values for first_hear_ea
254 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| first_hear_ea | factor | FALSE |
|
254 | 0.88 | 21 | Per: 310, 80,: 244, Boo: 179, Oth: 167 | NA |
Distribution of values for city
562 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| city | factor | FALSE |
|
562 | 0.74 | 23 | Oth: 868, SF : 100, Lon: 90, New: 77 | NA |
Distribution of values for collector_source
0 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| collector_source | factor | FALSE |
|
0 | 1 | 23 | EA : 426, 80K: 409, Ema: 227, EA : 220 | NA |
Distribution of values for gender_manual
536 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| gender_manual | factor | FALSE |
|
536 | 0.75 | 3 | Mal: 1148, Fem: 438, Oth: 42 | NA |
What is your race/ethnicity? White
Distribution of values for race_white
507 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| race_white | What is your race/ethnicity? White | numeric | 507 | 0.77 | 0 | 1 | 1 | 0.83 | 0.38 | ▂▁▁▁▇ |
What is your race/ethnicity? Black or African American
Distribution of values for race_black_aa
507 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| race_black_aa | What is your race/ethnicity? Black or African American | numeric | 507 | 0.77 | 0 | 0 | 1 | 0.01 | 0.12 | ▇▁▁▁▁ |
What is your race/ethnicity? Hispanic, Latino or Spanish Origin
Distribution of values for race_hispanic_la_spanish
507 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| race_hispanic_la_spanish | What is your race/ethnicity? Hispanic, Latino or Spanish Origin | numeric | 507 | 0.77 | 0 | 0 | 1 | 0.04 | 0.2 | ▇▁▁▁▁ |
What is your race/ethnicity? American Indian or Alaskan Native
Distribution of values for race_american_indian_alaskan
507 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| race_american_indian_alaskan | What is your race/ethnicity? American Indian or Alaskan Native | numeric | 507 | 0.77 | 0 | 0 | 1 | 0 | 0.04 | ▇▁▁▁▁ |
What is your race/ethnicity? Asian
Distribution of values for race_asian
507 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| race_asian | What is your race/ethnicity? Asian | numeric | 507 | 0.77 | 0 | 0 | 1 | 0.12 | 0.33 | ▇▁▁▁▁ |
What is your race/ethnicity? Native Hawaiian or Other Pacific Islander
Distribution of values for race_native_hawaiin_pacific
507 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| race_native_hawaiin_pacific | What is your race/ethnicity? Native Hawaiian or Other Pacific Islander | numeric | 507 | 0.77 | 0 | 0 | 1 | 0 | 0.05 | ▇▁▁▁▁ |
What is your race/ethnicity? Prefer not to answer
Distribution of values for race_prefer_no_answer
507 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| race_prefer_no_answer | What is your race/ethnicity? Prefer not to answer | numeric | 507 | 0.77 | 0 | 0 | 1 | 0.03 | 0.16 | ▇▁▁▁▁ |
What is your race/ethnicity? Other (please specify)
Distribution of values for race_other
507 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| race_other | What is your race/ethnicity? Other (please specify) | numeric | 507 | 0.77 | 0 | 0 | 1 | 0.04 | 0.2 | ▇▁▁▁▁ |
Distribution of values for race_
507 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| race_ | factor | FALSE |
|
507 | 0.77 | 8 | whi: 1260, asi: 203, oth: 68, his: 59 | NA |
Employment/student status? Employed, full-time
Distribution of values for status_employed_ft
472 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| status_employed_ft | Employment/student status? Employed, full-time | numeric | 472 | 0.78 | 0 | 0 | 1 | 0.49 | 0.5 | ▇▁▁▁▇ |
Employment/student status? Employed, part time
Distribution of values for status_employed_pt
472 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| status_employed_pt | Employment/student status? Employed, part time | numeric | 472 | 0.78 | 0 | 0 | 1 | 0.11 | 0.31 | ▇▁▁▁▁ |
Employment/student status? Self-employed
Distribution of values for status_self_employed
472 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| status_self_employed | Employment/student status? Self-employed | numeric | 472 | 0.78 | 0 | 0 | 1 | 0.11 | 0.31 | ▇▁▁▁▁ |
Employment/student status? Not employed, but looking
Distribution of values for status_not_employed_looking
472 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| status_not_employed_looking | Employment/student status? Not employed, but looking | numeric | 472 | 0.78 | 0 | 0 | 1 | 0.06 | 0.24 | ▇▁▁▁▁ |
Employment/student status? Not employed, but not looking
Distribution of values for status_not_employed
472 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| status_not_employed | Employment/student status? Not employed, but not looking | numeric | 472 | 0.78 | 0 | 0 | 1 | 0.02 | 0.16 | ▇▁▁▁▁ |
Employment/student status? Homemaker / full-time parent
Distribution of values for status_homemaker_parent
472 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| status_homemaker_parent | Employment/student status? Homemaker / full-time parent | numeric | 472 | 0.78 | 0 | 0 | 1 | 0.01 | 0.08 | ▇▁▁▁▁ |
Employment/student status? Retired
Distribution of values for status_retired
472 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| status_retired | Employment/student status? Retired | numeric | 472 | 0.78 | 0 | 0 | 1 | 0.02 | 0.15 | ▇▁▁▁▁ |
Employment/student status? Student (high school)
Distribution of values for status_student_hs
472 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| status_student_hs | Employment/student status? Student (high school) | numeric | 472 | 0.78 | 0 | 0 | 1 | 0.01 | 0.1 | ▇▁▁▁▁ |
Employment/student status? Student (undergraduate)
Distribution of values for status_student_undergrad
472 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| status_student_undergrad | Employment/student status? Student (undergraduate) | numeric | 472 | 0.78 | 0 | 0 | 1 | 0.18 | 0.38 | ▇▁▁▁▂ |
Employment/student status? Student (masters or equivalent)
Distribution of values for status_student_masters
472 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| status_student_masters | Employment/student status? Student (masters or equivalent) | numeric | 472 | 0.78 | 0 | 0 | 1 | 0.1 | 0.29 | ▇▁▁▁▁ |
Employment/student status? Student (doctoral degree or equivalent)
Distribution of values for status_student_doctoral
472 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| status_student_doctoral | Employment/student status? Student (doctoral degree or equivalent) | numeric | 472 | 0.78 | 0 | 0 | 1 | 0.07 | 0.26 | ▇▁▁▁▁ |
Employment/student status? Student (other)
Distribution of values for status_student_other
472 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| status_student_other | Employment/student status? Student (other) | numeric | 472 | 0.78 | 0 | 0 | 1 | 0.02 | 0.14 | ▇▁▁▁▁ |
Employment/student status? Prefer not to answer
Distribution of values for status_prefer_no_answer
472 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| status_prefer_no_answer | Employment/student status? Prefer not to answer | numeric | 472 | 0.78 | 0 | 0 | 1 | 0 | 0.06 | ▇▁▁▁▁ |
Distribution of values for status_
472 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| status_ | factor | FALSE |
|
472 | 0.78 | 13 | emp: 734, stu: 293, stu: 158, sel: 131 | NA |
Current career description? Still deciding what to pursue
Distribution of values for career_still_deciding
487 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| career_still_deciding | Current career description? Still deciding what to pursue | numeric | 487 | 0.77 | 0 | 0 | 1 | 0.27 | 0.44 | ▇▁▁▁▃ |
Current career description? Building flexible career capital
Distribution of values for career_building_capital
487 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| career_building_capital | Current career description? Building flexible career capital | numeric | 487 | 0.77 | 0 | 0 | 1 | 0.29 | 0.45 | ▇▁▁▁▃ |
Current career description? Work at a non-profit (EA organization)
Distribution of values for career_non_profit_ea
487 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| career_non_profit_ea | Current career description? Work at a non-profit (EA organization) | numeric | 487 | 0.77 | 0 | 0 | 1 | 0.14 | 0.34 | ▇▁▁▁▁ |
Current career description? Work at a non-profit (not an EA organization)
Distribution of values for career_non_profit
487 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| career_non_profit | Current career description? Work at a non-profit (not an EA organization) | numeric | 487 | 0.77 | 0 | 0 | 1 | 0.06 | 0.24 | ▇▁▁▁▁ |
Current career description? For profit (earning to give)
Distribution of values for career_for_profit_earn_to_give
487 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| career_for_profit_earn_to_give | Current career description? For profit (earning to give) | numeric | 487 | 0.77 | 0 | 0 | 1 | 0.19 | 0.39 | ▇▁▁▁▂ |
Current career description? For profit (not earning to give)
Distribution of values for career_for_profit
487 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| career_for_profit | Current career description? For profit (not earning to give) | numeric | 487 | 0.77 | 0 | 0 | 1 | 0.13 | 0.34 | ▇▁▁▁▁ |
Current career description? Academia
Distribution of values for career_academia
487 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| career_academia | Current career description? Academia | numeric | 487 | 0.77 | 0 | 0 | 1 | 0.18 | 0.39 | ▇▁▁▁▂ |
Current career description? Government
Distribution of values for career_government
487 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| career_government | Current career description? Government | numeric | 487 | 0.77 | 0 | 0 | 1 | 0.09 | 0.28 | ▇▁▁▁▁ |
Current career description? Think tanks / lobbying / advocacy
Distribution of values for career_think_tank_lobby
487 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| career_think_tank_lobby | Current career description? Think tanks / lobbying / advocacy | numeric | 487 | 0.77 | 0 | 0 | 1 | 0.06 | 0.24 | ▇▁▁▁▁ |
Current career description? N/A
Distribution of values for career_na
487 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| career_na | Current career description? N/A | numeric | 487 | 0.77 | 0 | 0 | 1 | 0.03 | 0.18 | ▇▁▁▁▁ |
Current career description? Other
Distribution of values for career_other
487 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| career_other | Current career description? Other | numeric | 487 | 0.77 | 0 | 0 | 1 | 0.1 | 0.3 | ▇▁▁▁▁ |
Distribution of values for career_
487 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| career_ | factor | FALSE |
|
487 | 0.77 | 11 | aca: 250, for: 246, bui: 209, for: 188 | NA |
Distribution of values for race
507 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| race | character | 507 | 0.77 | 7 | 0 | 5 | 19 | 0 | NA |
In which year were you born?
Distribution of values for age_approx
505 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| age_approx | In which year were you born? | numeric | 505 | 0.77 | 4 | 27 | 102 | 30 | 9.8 | ▃▇▁▁▁ |
Distribution of values for employ_status
472 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| employ_status | factor | FALSE |
|
472 | 0.78 | 3 | Emp: 865, Stu: 621, Oth: 206 | NA |
Distribution of values for age_approx_ranges
505 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| age_approx_ranges | factor | FALSE |
|
505 | 0.77 | 5 | [29: 396, [34: 345, [4,: 328, [23: 302 | NA |
Distribution of values for age_approx_split
505 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| age_approx_split | factor | FALSE |
|
505 | 0.77 | 2 | [27: 916, [4,: 743 | NA |
Distribution of values for engagement_num
259 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| engagement_num | numeric | 259 | 0.88 | 1 | 3 | 5 | 3.5 | 1.1 | ▁▅▇▇▅ | NA |
Distribution of values for engagement_f
259 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| engagement_f | factor | FALSE |
|
259 | 0.88 | 5 | (3): 569, (4): 561, (5): 371, (2): 359 | NA |
Distribution of values for d_engage_3_5
259 missing values.
| name | data_type | n_missing | complete_rate | count | mean | label |
|---|---|---|---|---|---|---|
| d_engage_3_5 | logical | 259 | 0.88 | TRU: 1501, FAL: 404 | 0.79 | NA |
Distribution of values for d_engage_4_5
259 missing values.
| name | data_type | n_missing | complete_rate | count | mean | label |
|---|---|---|---|---|---|---|
| d_engage_4_5 | logical | 259 | 0.88 | FAL: 973, TRU: 932 | 0.49 | NA |
Distribution of values for d_engage_5
259 missing values.
| name | data_type | n_missing | complete_rate | count | mean | label |
|---|---|---|---|---|---|---|
| d_engage_5 | logical | 259 | 0.88 | FAL: 1534, TRU: 371 | 0.19 | NA |
Distribution of values for income_k
665 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| income_k | numeric | 665 | 0.69 | 0 | 35 | 36000 | 152 | 1104 | ▇▁▁▁▁ | NA |
Distribution of values for d_male
536 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| d_male | numeric | 536 | 0.75 | 0 | 1 | 1 | 0.71 | 0.46 | ▃▁▁▁▇ | NA |
Distribution of values for d_student
472 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| d_student | numeric | 472 | 0.78 | 0 | 0 | 1 | 0.37 | 0.48 | ▇▁▁▁▅ | NA |
Distribution of values for d_live_usa
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| d_live_usa | numeric | 0 | 1 | 0 | 0 | 1 | 0.3 | 0.46 | ▇▁▁▁▃ | NA |
Distribution of values for prioritize_lt
908 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| prioritize_lt | numeric | 908 | 0.58 | 1 | 3.4 | 5 | 3.3 | 0.69 | ▁▃▇▇▁ | NA |
Distribution of values for referrer
0 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| referrer | factor | FALSE |
|
0 | 1 | 16 | 80K: 488, EA : 427, Ema: 227, EA : 220 | NA |
Distribution of values for referrer_cat
0 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| referrer_cat | factor | FALSE |
|
0 | 1 | 11 | 80K: 488, EA : 427, Gro: 334, Ema: 227 | NA |
Distribution of values for referrer_min100
0 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| referrer_min100 | factor | FALSE |
|
0 | 1 | 8 | 80K: 488, EA : 427, Oth: 278, Ema: 227 | NA |
Distribution of values for referrer_cat2
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| referrer_cat2 | character | 0 | 1 | 5 | 0 | 5 | 24 | 0 | NA |
Distribution of values for referrer_cat3
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| referrer_cat3 | character | 0 | 1 | 5 | 0 | 5 | 30 | 0 | NA |
Distribution of values for engage_cats_1
259 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| engage_cats_1 | character | 259 | 0.88 | 4 | 0 | 1 | 3 | 0 | NA |
Distribution of values for engage_cats_2
259 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| engage_cats_2 | character | 259 | 0.88 | 3 | 0 | 1 | 3 | 0 | NA |
Distribution of values for start_date_quantiles
0 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| start_date_quantiles | factor | FALSE |
|
0 | 1 | 5 | (60: 540, [20: 461, (40: 429, [0%: 416 | NA |
Distribution of values for start_date_thirds_by_referrer
0 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| start_date_thirds_by_referrer | factor | FALSE |
|
0 | 1 | 3 | [33: 1004, (66: 641, [0%: 519 | NA |
Distribution of values for survey_willing
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| survey_willing | character | 0 | 1 | 3 | 0 | 11 | 29 | 0 | NA |
Distribution of values for donation_2019_c
697 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| donation_2019_c | numeric | 697 | 0.68 | 0 | 528 | 2500000 | 7401 | 71727 | ▇▁▁▁▁ | NA |
Distribution of values for donation_2020_c
718 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| donation_2020_c | numeric | 718 | 0.67 | 0 | 1003 | 2e+06 | 9836 | 73044 | ▇▁▁▁▁ | NA |
Distribution of values for income_c
713 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| income_c | numeric | 713 | 0.67 | 0 | 33000 | 3e+06 | 60469 | 135751 | ▇▁▁▁▁ | NA |
Distribution of values for income_k_c
713 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| income_k_c | numeric | 713 | 0.67 | 0 | 33 | 3000 | 60 | 136 | ▇▁▁▁▁ | NA |
Distribution of values for income_c_imp
40 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| income_c_imp | numeric | 40 | 0.98 | 1.9 | 39600 | 3e+06 | 55887 | 112726 | ▇▁▁▁▁ | NA |
Distribution of values for don_19_p1
697 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| don_19_p1 | numeric | 697 | 0.68 | 1 | 529 | 2500001 | 7402 | 71727 | ▇▁▁▁▁ | NA |
Distribution of values for income_c_imp_k
40 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| income_c_imp_k | numeric | 40 | 0.98 | 0.0019 | 40 | 3000 | 56 | 113 | ▇▁▁▁▁ | NA |
Distribution of values for action_gwwc_f
0 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| action_gwwc_f | factor | FALSE |
|
0 | 1 | 2 | 0: 1594, 1: 570 | NA |
Distribution of values for top_priority_rating
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | hist | label |
|---|---|---|---|---|---|---|---|---|---|
| top_priority_rating | numeric | 0 | 1 | -Inf | 5 | 5 | -Inf | ▁▁▁▃▇ | NA |
Distribution of values for avg_priority_rating
491 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| avg_priority_rating | numeric | 491 | 0.77 | 1.7 | 3.2 | 5 | 3.3 | 0.49 | ▁▅▇▂▁ | NA |
Distribution of values for mn_priority_rating
491 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| mn_priority_rating | numeric | 491 | 0.77 | 1.7 | 3.2 | 5 | 3.3 | 0.49 | ▁▅▇▂▁ | NA |
Distribution of values for lt_top_priority
491 missing values.
| name | data_type | n_missing | complete_rate | count | mean | label |
|---|---|---|---|---|---|---|
| lt_top_priority | logical | 491 | 0.77 | TRU: 852, FAL: 821 | 0.51 | NA |
Distribution of values for lt_above_mn_priority
524 missing values.
| name | data_type | n_missing | complete_rate | count | mean | label |
|---|---|---|---|---|---|---|
| lt_above_mn_priority | logical | 524 | 0.76 | TRU: 825, FAL: 815 | 0.5 | NA |
Distribution of values for top_priority_rating_among_lt
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | hist | label |
|---|---|---|---|---|---|---|---|---|---|
| top_priority_rating_among_lt | numeric | 0 | 1 | -Inf | 4 | 5 | -Inf | ▁▁▃▇▆ | NA |
Distribution of values for mn_priority_lt_rating
524 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| mn_priority_lt_rating | numeric | 524 | 0.76 | 1 | 3.4 | 5 | 3.3 | 0.71 | ▁▃▇▇▂ | NA |
Distribution of values for start_date_qtl_by_referrer
0 missing values.
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| start_date_qtl_by_referrer | factor | FALSE |
|
0 | 1 | 4 | [25: 802, (50: 588, (75: 426, [0%: 348 | NA |
| description | income_c_imp | income_c_imp_k | ea_id2 | first_hear_ea | engagement | engagement_num | engagement_f | d_engage_3_5 | d_engage_4_5 | d_engage_5 | engage_cats_1 | engage_cats_2 | year_involved | action_chose_job_degree | action_applied_job_degree | action_donated | action_gwwc | action_organize_group | action_work_ea_org | action_change_major | action_wrote_thesis | action_internship | action_applied_ea_global | action_attended_ea_global | action_ea_forum | action_lead_group | action_applied_one_on_one | action_had_one_on_one | action_change_career | action_subscribe_80k | action_none | involve_80k | involve_givewell | involve_personal_contact | involve_book | involve_article_blog | involve_gwwc | involve_group | involve_online | involve_lesswrong | involve_slate_star | involve_podcast | involve_ea_global | involve_lycs | involve_ace | involve_eagx | involve_other | member_ea_fb | member_ea_forum | member_lesswrong | member_ea_group | member_none | influence_80k_one_on_one | influence_80k_website | influence_80k_podcast | influence_podcast_other | influence_personal_contact | influence_books | influence_gwwc | influence_local_group | influence_givewell | influence_ea_global | influence_eagx | influence_ace | influence_lycs | influence_ea_forum | influence_articles_blogs | influence_ea_survey | influence_facebook_groups | influence_lesswrong | influence_slate_star | influence_wanbam | influence_aac | influence_none | influence_other | status_employed_ft | status_employed_pt | status_self_employed | status_not_employed_looking | status_not_employed | status_homemaker_parent | status_retired | status_student_hs | status_student_undergrad | status_student_masters | status_student_doctoral | status_student_other | status_prefer_no_answer | status_ | employ_status | d_student | career_still_deciding | career_building_capital | career_non_profit_ea | career_non_profit | career_for_profit_earn_to_give | career_for_profit | career_academia | career_government | career_think_tank_lobby | career_na | career_other | career_ | lt_top_priority | first_generation_student | financial_instability | capital_over_impact | birth_year | age_approx | age_approx_ranges | age_approx_split | race_white | race_black_aa | race_hispanic_la_spanish | race_american_indian_alaskan | race_asian | race_native_hawaiin_pacific | race_prefer_no_answer | race_other | race_ | race | lt_above_mn_priority | gender_original | gender_manual | d_male | prioritize_global_poverty | currency | prioritize_animal_welfare | prioritize_climate_change | city | friend_introduce | prioritize_biosecurity | agree_part_of_ea_community | prioritize_ai_risks | agree_ea_helps_impact | ea_community_ideal | ea_community_satisfaction | prioritize_ea_movement | prioritize_mental_health | donation_2019 | prioritize_nuclear_security | income | income_k | donation_2020 | prioritize_x_risks | sexual_orientation | prioritize_causes | donation_2019_c | don_19_p1 | don_share_inc_19_imp | university_original | income_c | income_k_c | donation_2020_c | don_share_inc_19 | prioritize_broad_longtermism | participate_contact | learned_80k | connection_80k | learned_ea_global | connection_ea_global | learned_ea_hub | connection_ea_hub | learned_ea_student_mentoring | connection_ea_student_mentor | learned_eagx | connection_eagx | learned_effective_thesis | connection_effective_thesis | learned_facebook_group | connection_facebook_group | learned_gwwc | connection_gwwc | learned_intl_ea_events | connection_intl_ea_events | learned_personal_connection | connection_personal_contact | learned_lesswrong | connection_lesswrong | learned_local_group | connection_local_groups | learned_non_local_group | connection_non_local_group | learned_ea_forum | connection_ea_forum | learned_ea_books | connection_ea_books | learned_ea_newsletter | connection_ea_newsletter | learned_none | connection_none | learned_connection_other | prioritize_lt | first_hear_ea_desc | negative_80k | negative_podcast | negative_givewell | negative_personal_contact | negative_books | negative_gwwc | negative_local_group | negative_lesswrong | negative_slate_star | negative_ea_global | negative_eagx | negative_facebook_group | negative_ea_forum | negative_articles_blogs | negative_ea_fellowship | negative_eagx2 | negative_ea_newsletter | negative_wanbam | negative_none | negative_other | engaged_personal_contact | ea_community_why | prioritize_meta | agree_farmed_animals_concern | agree_ways_better_than_others | agree_longtermism | agree_quantify_compare_impact | agree_work_on_any_cause | reputation_effect | engaged_80k_hours | group_comfortable_friend | local_group_original | group_name_original | city_other | group_supports_action | engaged_80k_podcast | group_beliefs_humility | engaged_local_groups | engaged_online_community | engaged_givewell | engaged_ea_forum | engaged_ea_newsletter | engaged_slate_star | engaged_lesswrong | dislike_ea_community | bottleneck_productivity | reputation_effect_explanation | engaged_gwwc | participate_fellowship_causes | prioritize_other | substantial_affect_impact | participate_fellowship_adv | ea_org_or_project | participate_social_event | participate_fellowship_career | engaged_eagx | engaged_ea_global | negative_response | participate_the_precipice | participate_donation_discuss | dont_share_80k | participate_80k_pod_discuss | donate_other1 | engaged_ea_fellowship | ea_id | participate_doing_good_better | ea_id3 | participate_fellowship_intro | first_hear_ea_other | participate_gwwc_info_session | participate_intro_one_on_one | engaged_80k_one_on_one | engaged_wanbam | custom_data_1 | var_miss | n_miss |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Missing values per variable | 40 | 40 | 175 | 254 | 259 | 259 | 259 | 259 | 259 | 259 | 259 | 259 | 270 | 280 | 280 | 280 | 280 | 280 | 280 | 280 | 280 | 280 | 280 | 280 | 280 | 280 | 280 | 280 | 280 | 280 | 280 | 290 | 290 | 290 | 290 | 290 | 290 | 290 | 290 | 290 | 290 | 290 | 290 | 290 | 290 | 290 | 290 | 310 | 310 | 310 | 310 | 310 | 413 | 413 | 413 | 413 | 413 | 413 | 413 | 413 | 413 | 413 | 413 | 413 | 413 | 413 | 413 | 413 | 413 | 413 | 413 | 413 | 413 | 413 | 413 | 472 | 472 | 472 | 472 | 472 | 472 | 472 | 472 | 472 | 472 | 472 | 472 | 472 | 472 | 472 | 472 | 487 | 487 | 487 | 487 | 487 | 487 | 487 | 487 | 487 | 487 | 487 | 487 | 491 | 492 | 493 | 496 | 505 | 505 | 505 | 505 | 507 | 507 | 507 | 507 | 507 | 507 | 507 | 507 | 507 | 507 | 524 | 526 | 536 | 536 | 539 | 555 | 561 | 561 | 562 | 581 | 583 | 584 | 601 | 603 | 617 | 624 | 639 | 641 | 647 | 652 | 665 | 665 | 669 | 678 | 686 | 689 | 697 | 697 | 708 | 712 | 713 | 713 | 718 | 723 | 758 | 765 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 829 | 908 | 968 | 1.03e+03 | 1.03e+03 | 1.03e+03 | 1.03e+03 | 1.03e+03 | 1.03e+03 | 1.03e+03 | 1.03e+03 | 1.03e+03 | 1.03e+03 | 1.03e+03 | 1.03e+03 | 1.03e+03 | 1.03e+03 | 1.03e+03 | 1.03e+03 | 1.03e+03 | 1.03e+03 | 1.03e+03 | 1.03e+03 | 1.07e+03 | 1.1e+03 | 1.11e+03 | 1.11e+03 | 1.12e+03 | 1.12e+03 | 1.12e+03 | 1.12e+03 | 1.17e+03 | 1.23e+03 | 1.29e+03 | 1.29e+03 | 1.29e+03 | 1.3e+03 | 1.3e+03 | 1.3e+03 | 1.3e+03 | 1.32e+03 | 1.36e+03 | 1.41e+03 | 1.44e+03 | 1.53e+03 | 1.59e+03 | 1.6e+03 | 1.61e+03 | 1.63e+03 | 1.67e+03 | 1.67e+03 | 1.69e+03 | 1.7e+03 | 1.7e+03 | 1.7e+03 | 1.72e+03 | 1.72e+03 | 1.74e+03 | 1.78e+03 | 1.79e+03 | 1.81e+03 | 1.85e+03 | 1.85e+03 | 1.89e+03 | 1.9e+03 | 1.91e+03 | 1.94e+03 | 1.94e+03 | 1.94e+03 | 1.95e+03 | 1.97e+03 | 2e+03 | 2.02e+03 | 2.03e+03 | 2.04e+03 | 2.06e+03 | 2.16e+03 | 2.06e+05 | 2.06e+05 |
| Missing values in 265 variables | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 265 | 227 |
| Missing values in 216 variables | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 216 | 34 |
| Missing values in 215 variables | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 215 | 32 |
| 1817 other, less frequent patterns | 1.78e+03 | 1.78e+03 | 1.66e+03 | 1.8e+03 | 1.8e+03 | 1.8e+03 | 1.8e+03 | 1.8e+03 | 1.8e+03 | 1.8e+03 | 1.8e+03 | 1.8e+03 | 1.79e+03 | 1.78e+03 | 1.78e+03 | 1.78e+03 | 1.78e+03 | 1.78e+03 | 1.78e+03 | 1.78e+03 | 1.78e+03 | 1.78e+03 | 1.78e+03 | 1.78e+03 | 1.78e+03 | 1.78e+03 | 1.78e+03 | 1.78e+03 | 1.78e+03 | 1.78e+03 | 1.78e+03 | 1.77e+03 | 1.77e+03 | 1.77e+03 | 1.77e+03 | 1.77e+03 | 1.77e+03 | 1.77e+03 | 1.77e+03 | 1.77e+03 | 1.77e+03 | 1.77e+03 | 1.77e+03 | 1.77e+03 | 1.77e+03 | 1.77e+03 | 1.77e+03 | 1.76e+03 | 1.76e+03 | 1.76e+03 | 1.76e+03 | 1.76e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.75e+03 | 1.69e+03 | 1.69e+03 | 1.69e+03 | 1.69e+03 | 1.69e+03 | 1.69e+03 | 1.69e+03 | 1.69e+03 | 1.69e+03 | 1.69e+03 | 1.69e+03 | 1.69e+03 | 1.69e+03 | 1.69e+03 | 1.69e+03 | 1.69e+03 | 1.68e+03 | 1.68e+03 | 1.68e+03 | 1.68e+03 | 1.68e+03 | 1.68e+03 | 1.68e+03 | 1.68e+03 | 1.68e+03 | 1.68e+03 | 1.68e+03 | 1.68e+03 | 1.67e+03 | 1.67e+03 | 1.67e+03 | 1.67e+03 | 1.66e+03 | 1.66e+03 | 1.66e+03 | 1.66e+03 | 1.66e+03 | 1.66e+03 | 1.66e+03 | 1.66e+03 | 1.66e+03 | 1.66e+03 | 1.66e+03 | 1.66e+03 | 1.66e+03 | 1.66e+03 | 1.64e+03 | 1.64e+03 | 1.63e+03 | 1.63e+03 | 1.62e+03 | 1.61e+03 | 1.6e+03 | 1.6e+03 | 1.6e+03 | 1.58e+03 | 1.58e+03 | 1.58e+03 | 1.56e+03 | 1.56e+03 | 1.55e+03 | 1.54e+03 | 1.52e+03 | 1.52e+03 | 1.52e+03 | 1.51e+03 | 1.5e+03 | 1.5e+03 | 1.5e+03 | 1.49e+03 | 1.48e+03 | 1.48e+03 | 1.47e+03 | 1.47e+03 | 1.46e+03 | 1.45e+03 | 1.45e+03 | 1.45e+03 | 1.45e+03 | 1.44e+03 | 1.41e+03 | 1.4e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.34e+03 | 1.26e+03 | 1.14e+03 | 1.14e+03 | 1.14e+03 | 1.14e+03 | 1.14e+03 | 1.14e+03 | 1.14e+03 | 1.14e+03 | 1.14e+03 | 1.14e+03 | 1.14e+03 | 1.14e+03 | 1.14e+03 | 1.14e+03 | 1.14e+03 | 1.14e+03 | 1.14e+03 | 1.14e+03 | 1.14e+03 | 1.14e+03 | 1.14e+03 | 1.1e+03 | 1.06e+03 | 1.06e+03 | 1.05e+03 | 1.05e+03 | 1.05e+03 | 1.04e+03 | 1.04e+03 | 995 | 930 | 861 | 857 | 857 | 868 | 854 | 866 | 851 | 844 | 802 | 754 | 721 | 636 | 575 | 563 | 553 | 537 | 496 | 491 | 470 | 467 | 465 | 462 | 441 | 443 | 429 | 389 | 374 | 355 | 317 | 310 | 271 | 263 | 252 | 227 | 221 | 223 | 210 | 191 | 160 | 145 | 134 | 119 | 109 | 0 | 1.2e+05 | 1.87e+03 |
The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.
{
"name": ".",
"datePublished": "2021-03-03",
"description": "The dataset has N=2164 rows and 310 columns.\n0 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
"keywords": ["respondentid", "collectorid", "start_date", "end_date", "custom_data_1", "opt_out_cea", "first_hear_ea_other", "first_hear_ea_desc", "involve_80k", "involve_givewell", "involve_personal_contact", "involve_book", "involve_article_blog", "involve_gwwc", "involve_group", "involve_online", "involve_lesswrong", "involve_slate_star", "involve_podcast", "involve_ea_global", "involve_lycs", "involve_ace", "involve_eagx", "involve_other", "action_chose_job_degree", "action_applied_job_degree", "action_donated", "action_gwwc", "action_organize_group", "action_work_ea_org", "action_change_major", "action_wrote_thesis", "action_internship", "action_applied_ea_global", "action_attended_ea_global", "action_ea_forum", "action_lead_group", "action_applied_one_on_one", "action_had_one_on_one", "action_change_career", "action_subscribe_80k", "action_none", "ea_org_or_project", "member_ea_fb", "member_ea_forum", "member_lesswrong", "member_ea_group", "member_none", "local_group_original", "group_comfortable_friend", "group_beliefs_humility", "group_supports_action", "influence_80k_one_on_one", "influence_80k_website", "influence_80k_podcast", "influence_podcast_other", "influence_personal_contact", "influence_books", "influence_gwwc", "influence_local_group", "influence_givewell", "influence_ea_global", "influence_eagx", "influence_ace", "influence_lycs", "influence_ea_forum", "influence_articles_blogs", "influence_ea_survey", "influence_facebook_groups", "influence_lesswrong", "influence_slate_star", "influence_wanbam", "influence_aac", "influence_none", "influence_other", "negative_80k", "negative_podcast", "negative_givewell", "negative_personal_contact", "negative_books", "negative_gwwc", "negative_local_group", "negative_lesswrong", "negative_slate_star", "negative_ea_global", "negative_eagx", "negative_facebook_group", "negative_ea_forum", "negative_articles_blogs", "negative_ea_fellowship", "negative_eagx2", "negative_ea_newsletter", "negative_wanbam", "negative_none", "negative_other", "negative_response", "engaged_ea_forum", "engaged_online_community", "engaged_local_groups", "engaged_ea_fellowship", "engaged_gwwc", "engaged_ea_global", "engaged_eagx", "engaged_ea_newsletter", "engaged_wanbam", "engaged_personal_contact", "engaged_80k_podcast", "engaged_80k_hours", "engaged_80k_one_on_one", "engaged_givewell", "engaged_lesswrong", "engaged_slate_star", "substantial_affect_impact", "prioritize_animal_welfare", "prioritize_causes", "prioritize_climate_change", "prioritize_biosecurity", "prioritize_nuclear_security", "prioritize_ai_risks", "prioritize_mental_health", "prioritize_global_poverty", "prioritize_meta", "prioritize_ea_movement", "prioritize_x_risks", "prioritize_broad_longtermism", "prioritize_other", "currency", "currency_other", "income", "donation_2019", "donation_2020", "donate_later", "university_original", "birth_year", "gender_original", "sexual_orientation", "country", "city_other", "ea_community_ideal", "ea_community_satisfaction", "ea_community_why", "agree_ea_helps_impact", "agree_part_of_ea_community", "friend_introduce", "learned_80k", "connection_80k", "learned_ea_global", "connection_ea_global", "learned_ea_hub", "connection_ea_hub", "learned_ea_student_mentoring", "connection_ea_student_mentor", "learned_eagx", "connection_eagx", "learned_effective_thesis", "connection_effective_thesis", "learned_facebook_group", "connection_facebook_group", "learned_gwwc", "connection_gwwc", "learned_intl_ea_events", "connection_intl_ea_events", "learned_personal_connection", "connection_personal_contact", "learned_lesswrong", "connection_lesswrong", "learned_local_group", "connection_local_groups", "learned_non_local_group", "connection_non_local_group", "learned_ea_forum", "connection_ea_forum", "learned_ea_books", "connection_ea_books", "learned_ea_newsletter", "connection_ea_newsletter", "learned_none", "connection_none", "learned_connection_other", "participate_doing_good_better", "participate_the_precipice", "participate_fellowship_intro", "participate_fellowship_adv", "participate_80k_pod_discuss", "participate_fellowship_career", "participate_fellowship_causes", "participate_intro_one_on_one", "participate_gwwc_info_session", "participate_donation_discuss", "participate_social_event", "participate_contact", "email_next_survey", "email_followup_surveys", "email_dont_email", "share_80k", "dont_share_80k", "profile_ea_hub", "agree_quantify_compare_impact", "agree_ways_better_than_others", "agree_work_on_any_cause", "agree_farmed_animals_concern", "agree_longtermism", "reputation_effect_explanation", "bottleneck_productivity", "dislike_ea_community", "donate_rethink_charity", "donate_80k", "donate_center_applied_rational", "donate_mercy_for_animals", "donate_other1", "donate_other2", "donate_other3", "donate_other4", "donate_other5", "datecreated", "group_name_original", "group_name_manual", "first_hear_qual", "_merge", "ea_id", "ea_id2", "ea_id3", "engagement", "capital_over_impact", "financial_instability", "first_generation_student", "reputation_effect", "year_involved", "first_hear_ea", "city", "collector_source", "gender_manual", "race_white", "race_black_aa", "race_hispanic_la_spanish", "race_american_indian_alaskan", "race_asian", "race_native_hawaiin_pacific", "race_prefer_no_answer", "race_other", "race_", "status_employed_ft", "status_employed_pt", "status_self_employed", "status_not_employed_looking", "status_not_employed", "status_homemaker_parent", "status_retired", "status_student_hs", "status_student_undergrad", "status_student_masters", "status_student_doctoral", "status_student_other", "status_prefer_no_answer", "status_", "career_still_deciding", "career_building_capital", "career_non_profit_ea", "career_non_profit", "career_for_profit_earn_to_give", "career_for_profit", "career_academia", "career_government", "career_think_tank_lobby", "career_na", "career_other", "career_", "race", "age_approx", "employ_status", "age_approx_ranges", "age_approx_split", "engagement_num", "engagement_f", "d_engage_3_5", "d_engage_4_5", "d_engage_5", "income_k", "d_male", "d_student", "d_live_usa", "prioritize_lt", "referrer", "referrer_cat", "referrer_min100", "referrer_cat2", "referrer_cat3", "engage_cats_1", "engage_cats_2", "start_date_quantiles", "start_date_thirds_by_referrer", "survey_willing", "donation_2019_c", "donation_2020_c", "income_c", "income_k_c", "income_c_imp", "don_share_inc_19", "don_share_inc_19_imp", "don_19_p1", "income_c_imp_k", "action_gwwc_f", "top_priority_rating", "avg_priority_rating", "mn_priority_rating", "lt_top_priority", "lt_above_mn_priority", "top_priority_rating_among_lt", "mn_priority_lt_rating", "start_date_qtl_by_referrer"],
"@context": "http://schema.org/",
"@type": "Dataset",
"variableMeasured": [
{
"name": "respondentid",
"description": "Respondent ID ",
"@type": "propertyValue"
},
{
"name": "collectorid",
"description": "Collector ID ",
"@type": "propertyValue"
},
{
"name": "start_date",
"description": "Start Date ",
"@type": "propertyValue"
},
{
"name": "end_date",
"description": "End Date ",
"@type": "propertyValue"
},
{
"name": "custom_data_1",
"description": "Custom Data 1 ",
"@type": "propertyValue"
},
{
"name": "opt_out_cea",
"description": "Opt out of data sharing with the Centre for Effective Altruism ",
"@type": "propertyValue"
},
{
"name": "first_hear_ea_other",
"description": "How did you first hear about effective altruism? Other",
"@type": "propertyValue"
},
{
"name": "first_hear_ea_desc",
"description": "Please briefly specify any further details about how you first heard about EA. ",
"@type": "propertyValue"
},
{
"name": "involve_80k",
"description": "Important for you getting involved in EA? 80,000 Hours",
"@type": "propertyValue"
},
{
"name": "involve_givewell",
"description": "Important for you getting involved in EA? GiveWell",
"@type": "propertyValue"
},
{
"name": "involve_personal_contact",
"description": "Important for you getting involved in EA? Personal contact with EAs",
"@type": "propertyValue"
},
{
"name": "involve_book",
"description": "Important for you getting involved in EA? A book",
"@type": "propertyValue"
},
{
"name": "involve_article_blog",
"description": "Important for you getting involved in EA? An article or blog",
"@type": "propertyValue"
},
{
"name": "involve_gwwc",
"description": "Important for you getting involved in EA? Giving What We Can",
"@type": "propertyValue"
},
{
"name": "involve_group",
"description": "Important for you getting involved in EA? Local or university EA Group",
"@type": "propertyValue"
},
{
"name": "involve_online",
"description": "Important for you getting involved in EA? The online EA community",
"@type": "propertyValue"
},
{
"name": "involve_lesswrong",
"description": "Important for you getting involved in EA? LessWrong",
"@type": "propertyValue"
},
{
"name": "involve_slate_star",
"description": "Important for you getting involved in EA? Slate Star Codex",
"@type": "propertyValue"
},
{
"name": "involve_podcast",
"description": "Important for you getting involved in EA? Podcast",
"@type": "propertyValue"
},
{
"name": "involve_ea_global",
"description": "Important for you getting involved in EA? EA Global",
"@type": "propertyValue"
},
{
"name": "involve_lycs",
"description": "Important for you getting involved in EA? The Life You Can Save",
"@type": "propertyValue"
},
{
"name": "involve_ace",
"description": "Important for you getting involved in EA? Animal Charity Evaluators",
"@type": "propertyValue"
},
{
"name": "involve_eagx",
"description": "Important for you getting involved in EA? EAGx",
"@type": "propertyValue"
},
{
"name": "involve_other",
"description": "Important for you getting involved in EA? Other (please specify)",
"@type": "propertyValue"
},
{
"name": "action_chose_job_degree",
"description": "Action: Chose a job or graduate degree program based on EA principles",
"@type": "propertyValue"
},
{
"name": "action_applied_job_degree",
"description": "Action: Applied for a job or graduate degree program based on EA principles",
"@type": "propertyValue"
},
{
"name": "action_donated",
"description": "Action: Donated >10% of your income based on EA principles",
"@type": "propertyValue"
},
{
"name": "action_gwwc",
"description": "Action: Took the Giving What We Can pledge",
"@type": "propertyValue"
},
{
"name": "action_organize_group",
"description": "Action: Spent >6 hours/week for >=2 months organizing an EA group/project",
"@type": "propertyValue"
},
{
"name": "action_work_ea_org",
"description": "Action: Worked (or currently work) at an EA organization",
"@type": "propertyValue"
},
{
"name": "action_change_major",
"description": "Action: Changed your major in university based on EA principles",
"@type": "propertyValue"
},
{
"name": "action_wrote_thesis",
"description": "Action: Wrote a thesis based on EA principles",
"@type": "propertyValue"
},
{
"name": "action_internship",
"description": "Action: Internship related to a career path you are exploring based on EA",
"@type": "propertyValue"
},
{
"name": "action_applied_ea_global",
"description": "Action: Applied to EA Global",
"@type": "propertyValue"
},
{
"name": "action_attended_ea_global",
"description": "Action: Attended EA Global",
"@type": "propertyValue"
},
{
"name": "action_ea_forum",
"description": "Action: Posted or commented on the EA Forum",
"@type": "propertyValue"
},
{
"name": "action_lead_group",
"description": "Action: Been a leader of a local EA group",
"@type": "propertyValue"
},
{
"name": "action_applied_one_on_one",
"description": "Action: Applied for a one-on-one career discussion with 80,000 Hours",
"@type": "propertyValue"
},
{
"name": "action_had_one_on_one",
"description": "Action: Had a one-on-one career discussion with 80,000 Hours",
"@type": "propertyValue"
},
{
"name": "action_change_career",
"description": "Action: Changed your career plans based on EA principles",
"@type": "propertyValue"
},
{
"name": "action_subscribe_80k",
"description": "Action: Subscribed to the 80,000 Hours newsletter",
"@type": "propertyValue"
},
{
"name": "action_none",
"description": "Action: None of the above",
"@type": "propertyValue"
},
{
"name": "ea_org_or_project",
"description": "Name of EA org/project you worked on or interned for. ",
"@type": "propertyValue"
},
{
"name": "member_ea_fb",
"description": "Which of the following are you a member of? EA Facebook group",
"@type": "propertyValue"
},
{
"name": "member_ea_forum",
"description": "Which of the following are you a member of? The Effective Altruism Forum",
"@type": "propertyValue"
},
{
"name": "member_lesswrong",
"description": "Which of the following are you a member of? LessWrong",
"@type": "propertyValue"
},
{
"name": "member_ea_group",
"description": "Which of the following are you a member of? Local EA group",
"@type": "propertyValue"
},
{
"name": "member_none",
"description": "Which of the following are you a member of? None of the above",
"@type": "propertyValue"
},
{
"name": "local_group_original",
"description": "If you are a member of a local EA group, which group are you a member of? ",
"@type": "propertyValue"
},
{
"name": "group_comfortable_friend",
"description": " My group is a place to which I'd feel comfortable bringing a friend",
"value": "1. (1) Strongly disagree,\n2. (2) Disagree,\n3. (3) Neither agree nor disagree,\n4. (4) Agree,\n5. (5) Strongly agree",
"@type": "propertyValue"
},
{
"name": "group_beliefs_humility",
"description": " My group is a place where people express their beliefs with humility",
"value": "1. (1) Strongly disagree,\n2. (2) Disagree,\n3. (3) Neither agree nor disagree,\n4. (4) Agree,\n5. (5) Strongly agree",
"@type": "propertyValue"
},
{
"name": "group_supports_action",
"description": " My group supports me in taking action based on EA principles",
"value": "1. (1) Strongly disagree,\n2. (2) Disagree,\n3. (3) Neither agree nor disagree,\n4. (4) Agree,\n5. (5) Strongly agree",
"@type": "propertyValue"
},
{
"name": "influence_80k_one_on_one",
"description": "Influence your ability to make impact? 80,000 Hours (1-on-1 career discussion)",
"@type": "propertyValue"
},
{
"name": "influence_80k_website",
"description": "Influence your ability to make impact? 80,000 Hours (website)",
"@type": "propertyValue"
},
{
"name": "influence_80k_podcast",
"description": "Influence your ability to make impact? 80,000 Hours (podcast)",
"@type": "propertyValue"
},
{
"name": "influence_podcast_other",
"description": "Influence your ability to make impact? Podcast (other than 80,000 Hours)",
"@type": "propertyValue"
},
{
"name": "influence_personal_contact",
"description": "Influence your ability to make impact? Personal contact with EAs",
"@type": "propertyValue"
},
{
"name": "influence_books",
"description": "Influence your ability to make impact? Books related to EA",
"@type": "propertyValue"
},
{
"name": "influence_gwwc",
"description": "Influence your ability to make impact? Giving What We Can",
"@type": "propertyValue"
},
{
"name": "influence_local_group",
"description": "Influence your ability to make impact? Local EA groups",
"@type": "propertyValue"
},
{
"name": "influence_givewell",
"description": "Influence your ability to make impact? GiveWell",
"@type": "propertyValue"
},
{
"name": "influence_ea_global",
"description": "Influence your ability to make impact? EA Global",
"@type": "propertyValue"
},
{
"name": "influence_eagx",
"description": "Influence your ability to make impact? EAGx",
"@type": "propertyValue"
},
{
"name": "influence_ace",
"description": "Influence your ability to make impact? Animal Charity Evaluators",
"@type": "propertyValue"
},
{
"name": "influence_lycs",
"description": "Influence your ability to make impact? The Life You Can Save",
"@type": "propertyValue"
},
{
"name": "influence_ea_forum",
"description": "Influence your ability to make impact? The EA Forum",
"@type": "propertyValue"
},
{
"name": "influence_articles_blogs",
"description": "Influence your ability to make impact? Articles/blogs related to EA",
"@type": "propertyValue"
},
{
"name": "influence_ea_survey",
"description": "Influence your ability to make impact? The EA Newsletter",
"@type": "propertyValue"
},
{
"name": "influence_facebook_groups",
"description": "Influence your ability to make impact? Facebook groups related to EA",
"@type": "propertyValue"
},
{
"name": "influence_lesswrong",
"description": "Influence your ability to make impact? LessWrong",
"@type": "propertyValue"
},
{
"name": "influence_slate_star",
"description": "Influence your ability to make impact? Slate Star Codex",
"@type": "propertyValue"
},
{
"name": "influence_wanbam",
"description": "Influence your ability to make impact? WANBAM",
"@type": "propertyValue"
},
{
"name": "influence_aac",
"description": "Influence your ability to make impact? Animal Advocacy Careers",
"@type": "propertyValue"
},
{
"name": "influence_none",
"description": "Influence your ability to make impact? None of the above",
"@type": "propertyValue"
},
{
"name": "influence_other",
"description": "Influence your ability to make impact? Other",
"@type": "propertyValue"
},
{
"name": "negative_80k",
"description": "Negative impact on your involvement with EA so far? 80,000 Hours",
"@type": "propertyValue"
},
{
"name": "negative_podcast",
"description": "Negative impact on your involvement with EA so far? Podcast (not 80,000 Hours)",
"@type": "propertyValue"
},
{
"name": "negative_givewell",
"description": "Negative impact on your involvement with EA so far? GiveWell",
"@type": "propertyValue"
},
{
"name": "negative_personal_contact",
"description": "Negative impact on your involvement with EA so far? Personal contact with EAs",
"@type": "propertyValue"
},
{
"name": "negative_books",
"description": "Negative impact on your involvement with EA so far? Books related to EA",
"@type": "propertyValue"
},
{
"name": "negative_gwwc",
"description": "Negative impact on your involvement with EA so far? Giving What We Can",
"@type": "propertyValue"
},
{
"name": "negative_local_group",
"description": "Negative impact on your involvement with EA so far? Local EA groups",
"@type": "propertyValue"
},
{
"name": "negative_lesswrong",
"description": "Negative impact on your involvement with EA so far? LessWrong",
"@type": "propertyValue"
},
{
"name": "negative_slate_star",
"description": "Negative impact on your involvement with EA so far? SlateStarCodex",
"@type": "propertyValue"
},
{
"name": "negative_ea_global",
"description": "Negative impact on your involvement with EA so far? EA Global",
"@type": "propertyValue"
},
{
"name": "negative_eagx",
"description": "Negative impact on your involvement with EA so far? EAGx",
"@type": "propertyValue"
},
{
"name": "negative_facebook_group",
"description": "Negative impact on your involvement with EA so far? FB groups related to EA",
"@type": "propertyValue"
},
{
"name": "negative_ea_forum",
"description": "Negative impact on your involvement with EA so far? The EA Forum",
"@type": "propertyValue"
},
{
"name": "negative_articles_blogs",
"description": "Negative impact on your involvement with EA so far? Articles/blogs related EA",
"@type": "propertyValue"
},
{
"name": "negative_ea_fellowship",
"description": "Negative impact on your involvement with EA so far? An EA Fellowship",
"@type": "propertyValue"
},
{
"name": "negative_eagx2",
"description": "Negative impact on your involvement with EA so far? EAGx",
"@type": "propertyValue"
},
{
"name": "negative_ea_newsletter",
"description": "Negative impact on your involvement with EA so far? The EA Newsletter",
"@type": "propertyValue"
},
{
"name": "negative_wanbam",
"description": "Negative impact on your involvement with EA so far? WANBAM",
"@type": "propertyValue"
},
{
"name": "negative_none",
"description": "Negative impact on your involvement with EA so far? None of the above",
"@type": "propertyValue"
},
{
"name": "negative_other",
"description": "Negative impact on your involvement with EA so far? Other",
"@type": "propertyValue"
},
{
"name": "negative_response",
"description": "Negative impact on your involvement with EA so far? Open-Ended Response",
"@type": "propertyValue"
},
{
"name": "engaged_ea_forum",
"description": "Affected your likelihood of staying engaged with EA? The EA Forum",
"value": "1. Made me a lot less likely to stay engaged,\n2. Made me less likely to stay engaged,\n3. Made me slightly less likely to stay engaged,\n4. Significant interaction, but neutral effect,\n5. Made me slightly more likely to stay engaged,\n6. Made me more likely to stay engaged,\n7. Made me a lot more likely to stay engaged",
"@type": "propertyValue"
},
{
"name": "engaged_online_community",
"description": "Affected your likelihood of staying engaged with EA? The online EA community",
"value": "1. Made me a lot less likely to stay engaged,\n2. Made me less likely to stay engaged,\n3. Made me slightly less likely to stay engaged,\n4. Significant interaction, but neutral effect,\n5. Made me slightly more likely to stay engaged,\n6. Made me more likely to stay engaged,\n7. Made me a lot more likely to stay engaged",
"@type": "propertyValue"
},
{
"name": "engaged_local_groups",
"description": "Affected your likelihood of staying engaged with EA? Local EA groups",
"value": "1. Made me a lot less likely to stay engaged,\n2. Made me less likely to stay engaged,\n3. Made me slightly less likely to stay engaged,\n4. Significant interaction, but neutral effect,\n5. Made me slightly more likely to stay engaged,\n6. Made me more likely to stay engaged,\n7. Made me a lot more likely to stay engaged",
"@type": "propertyValue"
},
{
"name": "engaged_ea_fellowship",
"description": "Affected your likelihood of staying engaged with EA? An EA Fellowship",
"value": "1. Made me a lot less likely to stay engaged,\n2. Made me less likely to stay engaged,\n3. Made me slightly less likely to stay engaged,\n4. Significant interaction, but neutral effect,\n5. Made me slightly more likely to stay engaged,\n6. Made me more likely to stay engaged,\n7. Made me a lot more likely to stay engaged",
"@type": "propertyValue"
},
{
"name": "engaged_gwwc",
"description": "Affected your likelihood of staying engaged with EA? Giving What We Can",
"value": "1. Made me a lot less likely to stay engaged,\n2. Made me less likely to stay engaged,\n3. Made me slightly less likely to stay engaged,\n4. Significant interaction, but neutral effect,\n5. Made me slightly more likely to stay engaged,\n6. Made me more likely to stay engaged,\n7. Made me a lot more likely to stay engaged",
"@type": "propertyValue"
},
{
"name": "engaged_ea_global",
"description": "Affected your likelihood of staying engaged with EA? EA Global",
"value": "1. Made me a lot less likely to stay engaged,\n2. Made me less likely to stay engaged,\n3. Made me slightly less likely to stay engaged,\n4. Significant interaction, but neutral effect,\n5. Made me slightly more likely to stay engaged,\n6. Made me more likely to stay engaged,\n7. Made me a lot more likely to stay engaged",
"@type": "propertyValue"
},
{
"name": "engaged_eagx",
"description": "Affected your likelihood of staying engaged with EA? EAGx",
"value": "1. Made me a lot less likely to stay engaged,\n2. Made me less likely to stay engaged,\n3. Made me slightly less likely to stay engaged,\n4. Significant interaction, but neutral effect,\n5. Made me slightly more likely to stay engaged,\n6. Made me more likely to stay engaged,\n7. Made me a lot more likely to stay engaged",
"@type": "propertyValue"
},
{
"name": "engaged_ea_newsletter",
"description": "Affected your likelihood of staying engaged with EA? The EA Newsletter",
"value": "1. Made me a lot less likely to stay engaged,\n2. Made me less likely to stay engaged,\n3. Made me slightly less likely to stay engaged,\n4. Significant interaction, but neutral effect,\n5. Made me slightly more likely to stay engaged,\n6. Made me more likely to stay engaged,\n7. Made me a lot more likely to stay engaged",
"@type": "propertyValue"
},
{
"name": "engaged_wanbam",
"description": "Affected your likelihood of staying engaged with EA? WANBAM",
"value": "1. Made me a lot less likely to stay engaged,\n2. Made me less likely to stay engaged,\n3. Made me slightly less likely to stay engaged,\n4. Significant interaction, but neutral effect,\n5. Made me slightly more likely to stay engaged,\n6. Made me more likely to stay engaged,\n7. Made me a lot more likely to stay engaged",
"@type": "propertyValue"
},
{
"name": "engaged_personal_contact",
"description": "Affected your likelihood of staying engaged with EA? Personal contacts",
"value": "1. Made me a lot less likely to stay engaged,\n2. Made me less likely to stay engaged,\n3. Made me slightly less likely to stay engaged,\n4. Significant interaction, but neutral effect,\n5. Made me slightly more likely to stay engaged,\n6. Made me more likely to stay engaged,\n7. Made me a lot more likely to stay engaged",
"@type": "propertyValue"
},
{
"name": "engaged_80k_podcast",
"description": "Affected your likelihood of staying engaged with EA? 80,000 Hours (podcast)",
"value": "1. Made me a lot less likely to stay engaged,\n2. Made me less likely to stay engaged,\n3. Made me slightly less likely to stay engaged,\n4. Significant interaction, but neutral effect,\n5. Made me slightly more likely to stay engaged,\n6. Made me more likely to stay engaged,\n7. Made me a lot more likely to stay engaged",
"@type": "propertyValue"
},
{
"name": "engaged_80k_hours",
"description": "Affected your likelihood of staying engaged with EA? 80,000 Hours (website)",
"value": "1. Made me a lot less likely to stay engaged,\n2. Made me less likely to stay engaged,\n3. Made me slightly less likely to stay engaged,\n4. Significant interaction, but neutral effect,\n5. Made me slightly more likely to stay engaged,\n6. Made me more likely to stay engaged,\n7. Made me a lot more likely to stay engaged",
"@type": "propertyValue"
},
{
"name": "engaged_80k_one_on_one",
"description": "Affected your likelihood of staying engaged with EA? 80k Hours (1-on-1 career)",
"value": "1. Made me a lot less likely to stay engaged,\n2. Made me less likely to stay engaged,\n3. Made me slightly less likely to stay engaged,\n4. Significant interaction, but neutral effect,\n5. Made me slightly more likely to stay engaged,\n6. Made me more likely to stay engaged,\n7. Made me a lot more likely to stay engaged",
"@type": "propertyValue"
},
{
"name": "engaged_givewell",
"description": "Affected your likelihood of staying engaged with EA? GiveWell",
"value": "1. Made me a lot less likely to stay engaged,\n2. Made me less likely to stay engaged,\n3. Made me slightly less likely to stay engaged,\n4. Significant interaction, but neutral effect,\n5. Made me slightly more likely to stay engaged,\n6. Made me more likely to stay engaged,\n7. Made me a lot more likely to stay engaged",
"@type": "propertyValue"
},
{
"name": "engaged_lesswrong",
"description": "Affected your likelihood of staying engaged with EA? LessWrong",
"value": "1. Made me a lot less likely to stay engaged,\n2. Made me less likely to stay engaged,\n3. Made me slightly less likely to stay engaged,\n4. Significant interaction, but neutral effect,\n5. Made me slightly more likely to stay engaged,\n6. Made me more likely to stay engaged,\n7. Made me a lot more likely to stay engaged",
"@type": "propertyValue"
},
{
"name": "engaged_slate_star",
"description": "Affected your likelihood of staying engaged with EA? Slate Star Codex",
"value": "1. Made me a lot less likely to stay engaged,\n2. Made me less likely to stay engaged,\n3. Made me slightly less likely to stay engaged,\n4. Significant interaction, but neutral effect,\n5. Made me slightly more likely to stay engaged,\n6. Made me more likely to stay engaged,\n7. Made me a lot more likely to stay engaged",
"@type": "propertyValue"
},
{
"name": "substantial_affect_impact",
"description": "Are there other things which have substantially affected your impact? ",
"@type": "propertyValue"
},
{
"name": "prioritize_animal_welfare",
"value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5",
"@type": "propertyValue"
},
{
"name": "prioritize_causes",
"value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5",
"@type": "propertyValue"
},
{
"name": "prioritize_climate_change",
"value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5",
"@type": "propertyValue"
},
{
"name": "prioritize_biosecurity",
"value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5",
"@type": "propertyValue"
},
{
"name": "prioritize_nuclear_security",
"value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5",
"@type": "propertyValue"
},
{
"name": "prioritize_ai_risks",
"value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5",
"@type": "propertyValue"
},
{
"name": "prioritize_mental_health",
"value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5",
"@type": "propertyValue"
},
{
"name": "prioritize_global_poverty",
"value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5",
"@type": "propertyValue"
},
{
"name": "prioritize_meta",
"value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5",
"@type": "propertyValue"
},
{
"name": "prioritize_ea_movement",
"value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5",
"@type": "propertyValue"
},
{
"name": "prioritize_x_risks",
"value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5",
"@type": "propertyValue"
},
{
"name": "prioritize_broad_longtermism",
"value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5",
"@type": "propertyValue"
},
{
"name": "prioritize_other",
"description": "Are there any other causes you feel should be priorities for the EA community? ",
"@type": "propertyValue"
},
{
"name": "currency",
"@type": "propertyValue"
},
{
"name": "currency_other",
"description": "Please select the currency that pertains to you. Other",
"@type": "propertyValue"
},
{
"name": "income",
"description": "What was your pre-tax individual income in 2019? ",
"@type": "propertyValue"
},
{
"name": "donation_2019",
"description": "In 2019, roughly how much money did you donate? ",
"@type": "propertyValue"
},
{
"name": "donation_2020",
"description": "In 2020, how much do you currently plan to donate? ",
"@type": "propertyValue"
},
{
"name": "donate_later",
"description": "Are you presently saving money to donate later, rather than donate now? ",
"@type": "propertyValue"
},
{
"name": "university_original",
"description": "If applicable, which university or universities did you attend? ",
"@type": "propertyValue"
},
{
"name": "birth_year",
"description": "In which year were you born? ",
"@type": "propertyValue"
},
{
"name": "gender_original",
"description": "Gender, original ",
"@type": "propertyValue"
},
{
"name": "sexual_orientation",
"description": "What is your sexual orientation? ",
"@type": "propertyValue"
},
{
"name": "country",
"@type": "propertyValue"
},
{
"name": "city_other",
"description": "In what town/city/metropolitan area do you live? Other",
"@type": "propertyValue"
},
{
"name": "ea_community_ideal",
"description": "How well does the EA community compare to your ideal? ",
"@type": "propertyValue"
},
{
"name": "ea_community_satisfaction",
"description": "What is your overall satisfaction with the EA community? ",
"@type": "propertyValue"
},
{
"name": "ea_community_why",
"description": "Why did you give the two ratings above? Open-Ended Response",
"@type": "propertyValue"
},
{
"name": "agree_ea_helps_impact",
"description": "Agree: The EA community helps me have more impact.",
"value": "1. (1) Strongly disagree,\n2. (2) Disagree,\n3. (3) Neither agree nor disagree,\n4. (4) Agree,\n5. (5) Strongly agree",
"@type": "propertyValue"
},
{
"name": "agree_part_of_ea_community",
"description": "Agree: I feel that I am a part of the effective altruism community.",
"value": "1. (1) Strongly disagree,\n2. (2) Disagree,\n3. (3) Neither agree nor disagree,\n4. (4) Agree,\n5. (5) Strongly agree",
"@type": "propertyValue"
},
{
"name": "friend_introduce",
"description": "How excited would you be to introduce a friend to the EA community? ",
"@type": "propertyValue"
},
{
"name": "learned_80k",
"description": " 80,000 Hours - Changed mind or learned something important",
"@type": "propertyValue"
},
{
"name": "connection_80k",
"description": " 80,000 Hours - New interesting and valuable connection",
"@type": "propertyValue"
},
{
"name": "learned_ea_global",
"description": " EA Global - Changed mind or learned something important",
"@type": "propertyValue"
},
{
"name": "connection_ea_global",
"description": " EA Global - New interesting and valuable connection",
"@type": "propertyValue"
},
{
"name": "learned_ea_hub",
"description": " EA Hub - Changed mind or learned something important",
"@type": "propertyValue"
},
{
"name": "connection_ea_hub",
"description": " EA Hub - New interesting and valuable connection",
"@type": "propertyValue"
},
{
"name": "learned_ea_student_mentoring",
"description": " EA Student Career Mentoring - Changed mind or learned something important",
"@type": "propertyValue"
},
{
"name": "connection_ea_student_mentor",
"description": " EA Student Career Mentoring - New interesting and valuable connection",
"@type": "propertyValue"
},
{
"name": "learned_eagx",
"description": " EAGx - Changed mind or learned something important",
"@type": "propertyValue"
},
{
"name": "connection_eagx",
"description": " EAGx - New interesting and valuable connection",
"@type": "propertyValue"
},
{
"name": "learned_effective_thesis",
"description": " Effective Thesis - Changed mind or learned something important",
"@type": "propertyValue"
},
{
"name": "connection_effective_thesis",
"description": " Effective Thesis - New interesting and valuable connection",
"@type": "propertyValue"
},
{
"name": "learned_facebook_group",
"description": " Facebook groups related to EA - Changed mind or learned something important",
"@type": "propertyValue"
},
{
"name": "connection_facebook_group",
"description": " Facebook groups related to EA - New interesting and valuable connection",
"@type": "propertyValue"
},
{
"name": "learned_gwwc",
"description": " Giving What We Can - Changed mind or learned something important",
"@type": "propertyValue"
},
{
"name": "connection_gwwc",
"description": " Giving What We Can - New interesting and valuable connection",
"@type": "propertyValue"
},
{
"name": "learned_intl_ea_events",
"description": " International EA social events - Changed mind or learned something important",
"@type": "propertyValue"
},
{
"name": "connection_intl_ea_events",
"description": " International EA social events - New interesting and valuable connection",
"@type": "propertyValue"
},
{
"name": "learned_personal_connection",
"description": " A personal connection - Changed mind or learned something important",
"@type": "propertyValue"
},
{
"name": "connection_personal_contact",
"description": " A personal connection - New interesting and valuable connection",
"@type": "propertyValue"
},
{
"name": "learned_lesswrong",
"description": " LessWrong - Changed mind or learned something important",
"@type": "propertyValue"
},
{
"name": "connection_lesswrong",
"description": " LessWrong - New interesting and valuable connection",
"@type": "propertyValue"
},
{
"name": "learned_local_group",
"description": " Local EA groups - Changed mind or learned something important",
"@type": "propertyValue"
},
{
"name": "connection_local_groups",
"description": " Local EA groups - New interesting and valuable connection",
"@type": "propertyValue"
},
{
"name": "learned_non_local_group",
"description": " Non-local meetups - Changed mind or learned something important",
"@type": "propertyValue"
},
{
"name": "connection_non_local_group",
"description": " Non-local meetups - New interesting and valuable connection",
"@type": "propertyValue"
},
{
"name": "learned_ea_forum",
"description": " The EA Forum - Changed mind or learned something important",
"@type": "propertyValue"
},
{
"name": "connection_ea_forum",
"description": " The EA Forum - New interesting and valuable connection",
"@type": "propertyValue"
},
{
"name": "learned_ea_books",
"description": " EA books - Changed mind or learned something important",
"@type": "propertyValue"
},
{
"name": "connection_ea_books",
"description": " EA books - New interesting and valuable connection",
"@type": "propertyValue"
},
{
"name": "learned_ea_newsletter",
"description": " The EA Newsletter - Changed mind or learned something important",
"@type": "propertyValue"
},
{
"name": "connection_ea_newsletter",
"description": " The EA Newsletter - New interesting and valuable connection",
"@type": "propertyValue"
},
{
"name": "learned_none",
"description": " None of the above - Changed mind or learned something important",
"@type": "propertyValue"
},
{
"name": "connection_none",
"description": " None of the above - New interesting and valuable connection",
"@type": "propertyValue"
},
{
"name": "learned_connection_other",
"description": " Other (please specify)",
"@type": "propertyValue"
},
{
"name": "participate_doing_good_better",
"description": "Interested in: A reading group to discuss Doing Good Better",
"@type": "propertyValue"
},
{
"name": "participate_the_precipice",
"description": "Interested in: A reading group to discuss The Precipice",
"@type": "propertyValue"
},
{
"name": "participate_fellowship_intro",
"description": "Interested in: A fellowship covering the basics of effective altruism",
"@type": "propertyValue"
},
{
"name": "participate_fellowship_adv",
"description": "Interested in: A fellowship covering advanced principles of effective altruism",
"@type": "propertyValue"
},
{
"name": "participate_80k_pod_discuss",
"description": "Interested in: An 80,000 Hours podcast discussion group",
"@type": "propertyValue"
},
{
"name": "participate_fellowship_career",
"description": "Interested in: A 4-part fellowship using the 80k tool for career planning",
"@type": "propertyValue"
},
{
"name": "participate_fellowship_causes",
"description": "Interested in: A fellowship covering key ideas related to your top cause area",
"@type": "propertyValue"
},
{
"name": "participate_intro_one_on_one",
"description": "Interested in: An introductory 1-on-1 convo to discuss the basic ideas of EA",
"@type": "propertyValue"
},
{
"name": "participate_gwwc_info_session",
"description": "Interested in: A one-time information session about GWWC / Try Giving",
"@type": "propertyValue"
},
{
"name": "participate_donation_discuss",
"description": "Interested in: A one-time discussion about where other EAs are donating",
"@type": "propertyValue"
},
{
"name": "participate_social_event",
"description": "Interested in: A one-time (virtual) social event to meet local EAs",
"@type": "propertyValue"
},
{
"name": "participate_contact",
"description": "May we (CEA) contact you if the activit(ies) you selected become(s) available? ",
"@type": "propertyValue"
},
{
"name": "email_next_survey",
"description": " Please send me an e-mail to next year's survey",
"@type": "propertyValue"
},
{
"name": "email_followup_surveys",
"description": " Please e-mail me relevant followup surveys",
"@type": "propertyValue"
},
{
"name": "email_dont_email",
"description": " Don't e-mail me about future surveys",
"@type": "propertyValue"
},
{
"name": "share_80k",
"description": " Yes - I give my permission for this information to be shared with 80,000 Hours",
"@type": "propertyValue"
},
{
"name": "dont_share_80k",
"description": " No - I do not wish for any of my information to be shared with 80,000 Hours",
"@type": "propertyValue"
},
{
"name": "profile_ea_hub",
"description": "Would you like a personal profile on the EA Hub? ",
"@type": "propertyValue"
},
{
"name": "agree_quantify_compare_impact",
"description": "Agree: It's possible to roughly quantify and compare different types of impact",
"value": "1. (1) Strongly disagree,\n2. (2) Disagree,\n3. (3) Slightly disagree,\n4. (4) Neither agree nor disagree,\n5. (5) Slightly agree,\n6. (6) Agree,\n7. (7) Strongly agree",
"@type": "propertyValue"
},
{
"name": "agree_ways_better_than_others",
"description": "Agree: Some ways of doing good are substantially better than others",
"value": "1. (1) Strongly disagree,\n2. (2) Disagree,\n3. (3) Slightly disagree,\n4. (4) Neither agree nor disagree,\n5. (5) Slightly agree,\n6. (6) Agree,\n7. (7) Strongly agree",
"@type": "propertyValue"
},
{
"name": "agree_work_on_any_cause",
"description": "Agree: It makes sense to be open to working on any cause",
"value": "1. (1) Strongly disagree,\n2. (2) Disagree,\n3. (3) Slightly disagree,\n4. (4) Neither agree nor disagree,\n5. (5) Slightly agree,\n6. (6) Agree,\n7. (7) Strongly agree",
"@type": "propertyValue"
},
{
"name": "agree_farmed_animals_concern",
"description": "Agree: Farmed animals deserve our moral concern",
"value": "1. (1) Strongly disagree,\n2. (2) Disagree,\n3. (3) Slightly disagree,\n4. (4) Neither agree nor disagree,\n5. (5) Slightly agree,\n6. (6) Agree,\n7. (7) Strongly agree",
"@type": "propertyValue"
},
{
"name": "agree_longtermism",
"description": "Agree: The impact of our actions on the very long-term future is most important",
"value": "1. (1) Strongly disagree,\n2. (2) Disagree,\n3. (3) Slightly disagree,\n4. (4) Neither agree nor disagree,\n5. (5) Slightly agree,\n6. (6) Agree,\n7. (7) Strongly agree",
"@type": "propertyValue"
},
{
"name": "reputation_effect_explanation",
"description": "If possible, could you please explain your answer? ",
"@type": "propertyValue"
},
{
"name": "bottleneck_productivity",
"description": "Are there any things which you think currently bottleneck your positive impact? ",
"@type": "propertyValue"
},
{
"name": "dislike_ea_community",
"description": "What do you personally dislike about the EA community and EA/EA-adjacent ideas? ",
"@type": "propertyValue"
},
{
"name": "donate_rethink_charity",
"description": "Roughly how much did you donate in 2019? Rethink Charity",
"@type": "propertyValue"
},
{
"name": "donate_80k",
"description": "Roughly how much did you donate in 2019? 80,000 Hours",
"@type": "propertyValue"
},
{
"name": "donate_center_applied_rational",
"description": "Roughly how much did you donate in 2019? Center For Applied Rationality",
"@type": "propertyValue"
},
{
"name": "donate_mercy_for_animals",
"description": "Roughly how much did you donate in 2019? Mercy For Animals",
"@type": "propertyValue"
},
{
"name": "donate_other1",
"description": "Roughly how much did you donate in 2019? Other (please specify)",
"@type": "propertyValue"
},
{
"name": "donate_other2",
"description": "Roughly how much did you donate in 2019? Other 2 (please specify)",
"@type": "propertyValue"
},
{
"name": "donate_other3",
"description": "Roughly how much did you donate in 2019? Other 3 (please specify)",
"@type": "propertyValue"
},
{
"name": "donate_other4",
"description": "Roughly how much did you donate in 2019? Other 4 (please specify)",
"@type": "propertyValue"
},
{
"name": "donate_other5",
"description": "Roughly how much did you donate in 2019? Other 5 (please specify)",
"@type": "propertyValue"
},
{
"name": "datecreated",
"description": "Date Created",
"@type": "propertyValue"
},
{
"name": "group_name_original",
"description": "",
"@type": "propertyValue"
},
{
"name": "group_name_manual",
"description": "Group Name, manually assigned",
"@type": "propertyValue"
},
{
"name": "first_hear_qual",
"description": "",
"@type": "propertyValue"
},
{
"name": "_merge",
"description": "",
"value": "1. master only (1),\n2. using only (2),\n3. matched (3),\n4. missing updated (4),\n5. nonmissing conflict (5)",
"@type": "propertyValue"
},
{
"name": "ea_id",
"@type": "propertyValue"
},
{
"name": "ea_id2",
"@type": "propertyValue"
},
{
"name": "ea_id3",
"@type": "propertyValue"
},
{
"name": "engagement",
"value": "1. (1) No engagement,\n2. (2) Mild engagement,\n3. (3) Moderate engagement,\n4. (4) Considerable engagement,\n5. (5) High engagement",
"@type": "propertyValue"
},
{
"name": "capital_over_impact",
"value": "1. Modestly prioritizing career capital,\n2. Modestly prioritizing immediate impact,\n3. N/A,\n4. Prioritizing both equally,\n5. Strongly prioritizing career capital,\n6. Strongly prioritizing immediate impact",
"@type": "propertyValue"
},
{
"name": "financial_instability",
"value": "1. Always,\n2. Never,\n3. Often,\n4. Prefer not to answer,\n5. Rarely,\n6. Sometimes",
"@type": "propertyValue"
},
{
"name": "first_generation_student",
"value": "1. No,\n2. Yes",
"@type": "propertyValue"
},
{
"name": "reputation_effect",
"value": "1. No, no reputational consequences at all,\n2. Yes, a mix of reputational benefits and negative reputational costs,\n3. Yes, mostly negative reputational costs,\n4. Yes, mostly positive reputational benefits",
"@type": "propertyValue"
},
{
"name": "year_involved",
"value": "1. 2009 or before,\n2. 2010,\n3. 2011,\n4. 2012,\n5. 2013,\n6. 2014,\n7. 2015,\n8. 2016,\n9. 2017,\n10. 2018,\n11. 2019,\n12. 2020,\n13. I don't remember",
"@type": "propertyValue"
},
{
"name": "first_hear_ea",
"value": "1. I don't remember,\n2. 80,000 Hours,\n3. Animal Charity Evaluators,\n4. Book, article, or blog post,\n5. EA Global / EAGx,\n6. Educational course (e.g. lecture, class, MOOC),\n7. Facebook,\n8. GiveWell,\n9. Giving What We Can,\n10. LessWrong,\n11. Local or university EA group,\n12. One For The World,\n13. Other,\n14. Personal contact (e.g. friend, colleague, relative),\n15. Podcast,\n16. REG / EAF / FRI / The Swiss group,\n17. Search engine,\n18. Slate Star Codex,\n19. TED talk,\n20. The Life You Can Save (organization),\n21. Vox's Future Perfect",
"@type": "propertyValue"
},
{
"name": "city",
"value": "1. Amsterdam,\n2. Auckland,\n3. Berlin,\n4. Boston / Cambridge (USA),\n5. Cambridge (UK),\n6. Canberra,\n7. Chicago,\n8. London,\n9. Los Angeles,\n10. Melbourne,\n11. New York City,\n12. Oslo,\n13. Other (please specify),\n14. Oxford,\n15. Philadelphia,\n16. SF Bay Area,\n17. Seattle,\n18. Stockholm,\n19. Sydney,\n20. Toronto,\n21. Vienna,\n22. Washington, DC,\n23. Zürich",
"@type": "propertyValue"
},
{
"name": "collector_source",
"value": "1. 80K 2,\n2. 80K1,\n3. CE,\n4. CEA FB,\n5. EA FB,\n6. EA Forum,\n7. EA Forum backup,\n8. EA Newsletter,\n9. EAA newsletter?,\n10. EAS80K3,\n11. Email Invitation 1,\n12. GWWC,\n13. Groups FB,\n14. Groups newsletter?,\n15. Groups personal email?,\n16. Groups slack,\n17. Hangouts,\n18. LG Newsletter,\n19. LW,\n20. Reddit,\n21. SSC,\n22. Sharing,\n23. dankeamemes",
"@type": "propertyValue"
},
{
"name": "gender_manual",
"value": "1. Other,\n2. Female,\n3. Male",
"@type": "propertyValue"
},
{
"name": "race_white",
"description": "What is your race/ethnicity? White",
"@type": "propertyValue"
},
{
"name": "race_black_aa",
"description": "What is your race/ethnicity? Black or African American",
"@type": "propertyValue"
},
{
"name": "race_hispanic_la_spanish",
"description": "What is your race/ethnicity? Hispanic, Latino or Spanish Origin",
"@type": "propertyValue"
},
{
"name": "race_american_indian_alaskan",
"description": "What is your race/ethnicity? American Indian or Alaskan Native",
"@type": "propertyValue"
},
{
"name": "race_asian",
"description": "What is your race/ethnicity? Asian",
"@type": "propertyValue"
},
{
"name": "race_native_hawaiin_pacific",
"description": "What is your race/ethnicity? Native Hawaiian or Other Pacific Islander",
"@type": "propertyValue"
},
{
"name": "race_prefer_no_answer",
"description": "What is your race/ethnicity? Prefer not to answer",
"@type": "propertyValue"
},
{
"name": "race_other",
"description": "What is your race/ethnicity? Other (please specify)",
"@type": "propertyValue"
},
{
"name": "race_",
"value": "1. american_indian_alaskan,\n2. asian,\n3. black_aa,\n4. hispanic_la_spanish,\n5. native_hawaiin_pacific,\n6. other,\n7. prefer_no_answer,\n8. white",
"@type": "propertyValue"
},
{
"name": "status_employed_ft",
"description": "Employment/student status? Employed, full-time",
"@type": "propertyValue"
},
{
"name": "status_employed_pt",
"description": "Employment/student status? Employed, part time",
"@type": "propertyValue"
},
{
"name": "status_self_employed",
"description": "Employment/student status? Self-employed",
"@type": "propertyValue"
},
{
"name": "status_not_employed_looking",
"description": "Employment/student status? Not employed, but looking",
"@type": "propertyValue"
},
{
"name": "status_not_employed",
"description": "Employment/student status? Not employed, but not looking",
"@type": "propertyValue"
},
{
"name": "status_homemaker_parent",
"description": "Employment/student status? Homemaker / full-time parent",
"@type": "propertyValue"
},
{
"name": "status_retired",
"description": "Employment/student status? Retired",
"@type": "propertyValue"
},
{
"name": "status_student_hs",
"description": "Employment/student status? Student (high school)",
"@type": "propertyValue"
},
{
"name": "status_student_undergrad",
"description": "Employment/student status? Student (undergraduate)",
"@type": "propertyValue"
},
{
"name": "status_student_masters",
"description": "Employment/student status? Student (masters or equivalent)",
"@type": "propertyValue"
},
{
"name": "status_student_doctoral",
"description": "Employment/student status? Student (doctoral degree or equivalent)",
"@type": "propertyValue"
},
{
"name": "status_student_other",
"description": "Employment/student status? Student (other)",
"@type": "propertyValue"
},
{
"name": "status_prefer_no_answer",
"description": "Employment/student status? Prefer not to answer",
"@type": "propertyValue"
},
{
"name": "status_",
"value": "1. employed_ft,\n2. employed_pt,\n3. homemaker_parent,\n4. not_employed,\n5. not_employed_looking,\n6. prefer_no_answer,\n7. retired,\n8. self_employed,\n9. student_doctoral,\n10. student_hs,\n11. student_masters,\n12. student_other,\n13. student_undergrad",
"@type": "propertyValue"
},
{
"name": "career_still_deciding",
"description": "Current career description? Still deciding what to pursue",
"@type": "propertyValue"
},
{
"name": "career_building_capital",
"description": "Current career description? Building flexible career capital",
"@type": "propertyValue"
},
{
"name": "career_non_profit_ea",
"description": "Current career description? Work at a non-profit (EA organization)",
"@type": "propertyValue"
},
{
"name": "career_non_profit",
"description": "Current career description? Work at a non-profit (not an EA organization)",
"@type": "propertyValue"
},
{
"name": "career_for_profit_earn_to_give",
"description": "Current career description? For profit (earning to give)",
"@type": "propertyValue"
},
{
"name": "career_for_profit",
"description": "Current career description? For profit (not earning to give)",
"@type": "propertyValue"
},
{
"name": "career_academia",
"description": "Current career description? Academia",
"@type": "propertyValue"
},
{
"name": "career_government",
"description": "Current career description? Government",
"@type": "propertyValue"
},
{
"name": "career_think_tank_lobby",
"description": "Current career description? Think tanks / lobbying / advocacy",
"@type": "propertyValue"
},
{
"name": "career_na",
"description": "Current career description? N/A",
"@type": "propertyValue"
},
{
"name": "career_other",
"description": "Current career description? Other",
"@type": "propertyValue"
},
{
"name": "career_",
"value": "1. academia,\n2. building_capital,\n3. for_profit,\n4. for_profit_earn_to_give,\n5. government,\n6. na,\n7. non_profit,\n8. non_profit_ea,\n9. other,\n10. still_deciding,\n11. think_tank_lobby",
"@type": "propertyValue"
},
{
"name": "race",
"@type": "propertyValue"
},
{
"name": "age_approx",
"description": "In which year were you born? ",
"@type": "propertyValue"
},
{
"name": "employ_status",
"value": "1. Employed (FT or self),\n2. Other (pt, unemployed, retired, homemaker, declined),\n3. Student",
"@type": "propertyValue"
},
{
"name": "age_approx_ranges",
"value": "1. [4, 23),\n2. [23, 26),\n3. [26, 29),\n4. [29, 34),\n5. [34, 120)",
"@type": "propertyValue"
},
{
"name": "age_approx_split",
"value": "1. [4, 27),\n2. [27, 120)",
"@type": "propertyValue"
},
{
"name": "engagement_num",
"@type": "propertyValue"
},
{
"name": "engagement_f",
"value": "1. (1) No engagement,\n2. (2) Mild engagement,\n3. (3) Moderate engagement,\n4. (4) Considerable engagement,\n5. (5) High engagement",
"@type": "propertyValue"
},
{
"name": "d_engage_3_5",
"@type": "propertyValue"
},
{
"name": "d_engage_4_5",
"@type": "propertyValue"
},
{
"name": "d_engage_5",
"@type": "propertyValue"
},
{
"name": "income_k",
"@type": "propertyValue"
},
{
"name": "d_male",
"@type": "propertyValue"
},
{
"name": "d_student",
"@type": "propertyValue"
},
{
"name": "d_live_usa",
"@type": "propertyValue"
},
{
"name": "prioritize_lt",
"@type": "propertyValue"
},
{
"name": "referrer",
"value": "1. 80K hours,\n2. CEA FB,\n3. dankeamemes,\n4. EA FB,\n5. EA Forum,\n6. EA Newsletter,\n7. Email; opt-in from prev. EAS,\n8. Giving What We Can,\n9. Groups FB,\n10. Groups personal email,\n11. Groups slack,\n12. Less Wrong,\n13. Reddit,\n14. Shared link,\n15. SlateStarCodex (Reddit group),\n16. Other",
"@type": "propertyValue"
},
{
"name": "referrer_cat",
"value": "1. 80K hours,\n2. EA Forum,\n3. EA Newsletter,\n4. Email; opt-in from prev. EAS,\n5. Giving What We Can,\n6. Groups (local),\n7. Less Wrong or SlateStarCodex-Reddit,\n8. Reddit,\n9. Shared link,\n10. Social media (FB/memes),\n11. Other",
"@type": "propertyValue"
},
{
"name": "referrer_min100",
"value": "1. 80K hours,\n2. EA Forum,\n3. EA Newsletter,\n4. Email; opt-in from prev. EAS,\n5. Groups personal email,\n6. Groups slack,\n7. Shared link,\n8. Other",
"@type": "propertyValue"
},
{
"name": "referrer_cat2",
"@type": "propertyValue"
},
{
"name": "referrer_cat3",
"@type": "propertyValue"
},
{
"name": "engage_cats_1",
"@type": "propertyValue"
},
{
"name": "engage_cats_2",
"@type": "propertyValue"
},
{
"name": "start_date_quantiles",
"value": "1. [0%, 20%),\n2. [20%, 40%],\n3. (40%, 60%],\n4. (60%, 80%],\n5. (80%, 100%]",
"@type": "propertyValue"
},
{
"name": "start_date_thirds_by_referrer",
"value": "1. [0%, 33.33%),\n2. [33.33%, 66.67%],\n3. (66.67%, 100%]",
"@type": "propertyValue"
},
{
"name": "survey_willing",
"@type": "propertyValue"
},
{
"name": "donation_2019_c",
"@type": "propertyValue"
},
{
"name": "donation_2020_c",
"@type": "propertyValue"
},
{
"name": "income_c",
"@type": "propertyValue"
},
{
"name": "income_k_c",
"@type": "propertyValue"
},
{
"name": "income_c_imp",
"@type": "propertyValue"
},
{
"name": "don_share_inc_19",
"@type": "propertyValue"
},
{
"name": "don_share_inc_19_imp",
"@type": "propertyValue"
},
{
"name": "don_19_p1",
"@type": "propertyValue"
},
{
"name": "income_c_imp_k",
"@type": "propertyValue"
},
{
"name": "action_gwwc_f",
"value": "1. 0,\n2. 1",
"@type": "propertyValue"
},
{
"name": "top_priority_rating",
"@type": "propertyValue"
},
{
"name": "avg_priority_rating",
"@type": "propertyValue"
},
{
"name": "mn_priority_rating",
"@type": "propertyValue"
},
{
"name": "lt_top_priority",
"@type": "propertyValue"
},
{
"name": "lt_above_mn_priority",
"@type": "propertyValue"
},
{
"name": "top_priority_rating_among_lt",
"@type": "propertyValue"
},
{
"name": "mn_priority_lt_rating",
"@type": "propertyValue"
},
{
"name": "start_date_qtl_by_referrer",
"value": "1. [0%, 25%),\n2. [25%, 50%],\n3. (50%, 75%],\n4. (75%, 100%]",
"@type": "propertyValue"
}
]
}`